Prize Fellowships
Wally Baer and Jeri Weiss Postdoctoral Fellowship in IST
Year | Winner | Advisor |
---|---|---|
2024 | Jeremy Budd | Franca Hoffmann |
2024 | Kevin Shu | Venkat Chandrasekaran |
2023 | Jorge Vargas-Garza | Joel Tropp |
2023 | Julius Konstantin Berner | Anima Anandkumar |
AI4Science/Amazon AWS Fellows
The AI4Science Fellows program is a result of a partnership between Caltech and Amazon around machine learning and artificial intelligence. The program recognizes graduate students and postdoctoral scholars that have had a remarkable impact in these areas, and in their application to fields beyond computer science.
Year | Winner | Advisor |
---|---|---|
2024 | Jorge Garza Vargas | Joel Tropp |
2022 | Zhoufan (Francesca) Li | Frances H. Arnold / Yisong Yue |
2022 | Changhao Xu | Wei Gao |
2022 | Maria Carilli | Lior S. Pachter |
2022 | Christopher T. Yeh | Yisong Yue |
2022 | Yiheng Lin | Adam Wierman /Yisong Yue |
2022 | Nicholas H. Nelsen | Andrew Stuart |
2022 | Zihui (Ray) Wu | Katie Bouman |
2022 | Jing Yu | John Doyle / Adam Wierman |
2022 | Elena-Sorina Lupu | Soon-Jo Chung |
2021 | Ignacio Lopez-Gomez | Tapio Schneider |
2021 | Rebecca Gallivan | Julia R. Greer |
2021 | Andrew Charbonneau | Chiara Daraio |
2021 | Zongyi Li | Anima Anandkumar |
2021 | Bijan Mazaheri | Shuki Bruck / Leonard Schulman |
2021 | Dmitry Burov | Andrew Stuart |
2021 | Jennifer J. Sun | Pietro Perona / Yisong Yue |
2021 | Frankcesco (Frank) Lanfranchi | Doris Tsao (Berkely) / Mikhail Shapiro |
2020 | Carmen Amo Alonso | John Doyle |
2020 | Sara Beery | Pietro Perona |
2020 | Charles Guan | Richard A. Andersen |
2020 | Kadina Johnston | Frances Hamilton Arnold |
2020 | Nikola Kovachki | Andrew Stuart |
2020 | Zhuoran Qiao | Thomas F. Miller III |
2020 | Guannan Qu | Steven Low / Adam Wierman |
2020 | He Sun | Katie Bouman |
2018 | Ehsan Abbasi | Babak Hassibi |
2018 | Gautam Goel | Adam Wierman |
2018 | Jonathan Kenny | Thanos Siapas |
2018 | Palma London | Adam Wierman |
2018 | Xiaobin Xiong | Aaron Ames |
2017 | Navid Azizan Ruhi | Babak Hassibi / Adam Wierman |
2017 | Ellen Feldman | Joel Burdick |
2017 | Hoang Le | Yisong Yue |
2017 | Florian Schaefer | Houman Owhadi |
2017 | Srikanth Tenneti | P.P. Vaidyanathan |
AI4Science Visiting Postdocs
Year | Name |
---|---|
2022 | Giovanni Paolini |
AI4Science/Amazon AWS Cloud Credit Recipients
Year | Project Title | Award Recipients | Division |
---|---|---|---|
2022 | Developing a DFT-based Ligand-Substrate Prediction Pipeline for Nickel-Catalyzed Reactions. | Sarah Reisman | Chemistry and Chemical Engineering |
2022 | Exploring the effects of rapidly acting antidepressants on neuronal activity through microscopy and deep learning | David A. Prober, Andrey Andreev, Zack Blumenfeld & Henry A. Lester | Biology and Biological Engineering |
2022 | Growing Arbitrary Patterns with Neural Reaction-Diffusion | Eric Winfree & Salvador Buse | CS, CNS & BioEng / Engineering and Applied Science |
2022 | Graph neural networks for volumetric meta-optics design | Andrei Faraon | Applied Physics and EE/Engineering and Applied Science |
2022 | Physics-based Modeling of Near-Source Tsunami Hazards for Coastal Communities | Ares J. Rosakis & Mohamed Abdelmeguid | Aeronautics & MechE/Engineering and Applied Science |
2022 | AstroQML: Quantum Machine Learning for Astronomy | Matthew J. Graham | Astronomy |
2022 | Characterizing and leveraging the expressivity of protein dimerization networks | Michael Elowitz | Biology and Biological Engineering |
2022 | Finding Rare Astrophysical Sources | Matthew Graham, Lynne Hillenbrand, Michael Coughlin, Andrew Drake & Ashish Mahabal | Astronomy |
2022 | Activity-Enhanced Self-Assembly of Colloidal Diamonds | John F. Brady | Chemistry and Chemical Engineering |
2022 | Tracking natural insect populations with AI | Michael H. Dickenson & Joseph Parker | Biology and Biological Engineering |
2022 | Sentence-level classification of Biological Data for Semi-automated Knowledgebase Curation at WormBase | Paul W. Sternberg | Biology and Biological Engineering |
2022 | NUPACK: Molecular Programming in the Cloud | Niles A. Pierce | Biology and Biological Engineering |
2021 | Multiphysical Single Protein Identification - Deep Learning for Multiphysical Single Protein Identification | Michael Roukes Group | Physics, Mathematics and Astronomy |
2021 | Political Polarization, Geographic Sorting, and Novel Methods for Large Administrative Data | Claudia Kann & Daniel Ebanks | Humanities and Social Sciences |
2021 | Dynamic Topic Modeling with Spectral Methods | Zhuofang Li | Social Science |
2021 | Optimized Terapixel Scale Processing of Astronomical Images | Graham (Bruce) Berriman | IPAC |
2021 | BBE Education | Justin Bois | Biology and Biological Engineering |
2021 | Using Cloud Computing For The Detection And Prevention of Social Media Misinformation and Harassment | R. Michael Alvarez | Humanities and Social Sciences |
2021 | Learning an Index of Economic Complexity | Frederick Eberhardt & Patrick Burauel | Humanities and Social Sciences |
2021 | Harm Reduction in Tobacco Addiction: Pharmacokinetics of Nicotine for Smoking Cessation | Henry A. Lester | Biology and Biological Engineering |
2021 | NUPACK: Molecular Programming in the Cloud | Niles A. Pierce | Biology and Biological Engineering |
2021 | Preventing T cell exhaustion by engineering oscillatory circuits | Shirin Shivaei | Bioengineering |
2021 | The ZTF AGN Catalog | Matthew J. Graham | Astronomy |
2021 | Computational design of computational protein networks | Michael Elowitz | Biology and Biological Engineering |
2020 | Text Similarity Query System to Improve Biological Curation of Scientific Articles at WormBase | Paul Sternberg/Hans-Michael Muller/Valerio Arnaboldi/Daniela Raciti/Kimberly Van Auken | Biology and Biological Engineering |
2020 | Active Drug Delivery | John F. Brady/(Edmond) Tingtao Zhou/Zhiwei Peng | Chemistry and Chemical Engineering |
2020 | Expanding the Definition of a Functional Protein with Ancestral Sequence Reconstruction for Semi-Supervised Transfer Learning in Protein Engineering | Bruce J. Wittmann/Kadina E. Johnston/Frances H. Arnold | Chemistry and Chemical Engineering |
2020 | Discovery of Microscopic Control Strategies Involving Active Matter by Using State-of-the-Art Reinforcement Learning Techniques | Dominik Schildknecht/Enrique Amaya/Matt Thomson | Biology and Biological Engineering |
2020 | Causal Discovery Methods for Astrophysical Data | Frederick Eberhardt/Eric Huff | Humanities and Social Sciences |
2020 | Computational Lineage Motif Analysis of cell fate decision programs during differentiation | Michael Elowitz | Biology and Biological Engineering |
2020 | Memory maps as long-term memory storage in recurrent neural networks | James Gornet/ Matt Thomson | Biology and Biological Engineering |
2020 | Embedding of single cell drug perturbation experiments by graph neural networks | Jialong Jiang/Sisi Chen/Tahmineh Khazaei/Matt Thomson | Biology and Biological Engineering |
2020 | Millisecond Astronomy with the Zwicky Transient Facility | Mansi Kasliwal/Igor Andreoni/Matthew Graham/Ashish Mahabal/Roger Smith/Stephen Kaye/Sterl Phinney/Richard Walters | Physics, Mathematics and Astronomy |
2020 | Finding Rare Astrophysical Sources | Mahabal Ashish/Kevin Burdge/Michael Coughlin/Andrew Drake/Dmitry Duev/Matthew Graham/Lynne Hillenbrand/Przemek Mroz/Joannes Van Roestel | Physics, Mathematics and Astronomy |
2020 | NUPACK: Molecular Programming in the Cloud | Niles Pierce | Biology and Biological Engineering |
2020 | Development of a high throughput analysis pipeline for whole-brain light sheet imaging during behavior | Andrey Andreev/Amina Kinkhabwala/David Prober | Biology and Biological Engineering |
Computing, Data, and Society Fellows
Computing, Data, and Society fellows conduct cutting-edge research in computing and data science, broadly construed, with the potential for direct or indirect societal benefits.
Example areas of focus include Algorithmic Fairness, Ethical AI, Explainable AI, Disinformation, Algorithmic Economics, Privacy, Security, smart grid, sustainable computing; applied mathematics, core computer science, and control theory with applications to climate, energy, water, transportation, medicine, biology, chemistry, neuroscience, agriculture, and sociology.
Year | Winner | Advisor |
---|---|---|
2024 | Raul Astudillo | Yisong Yue |
2024 | Yu Sun | Katie Bouman |
2023 | Ziniu Hu | Yisong Yue |
2023 | Laixi Shi | Adam Wierman/Eric Mazumdar |
2023 | Mohammadamin Tavakoli | Anima Anandkumar |
2022 | Kaiyu Yang | Anima Anandkumar |
Saul Kaplun Fellowship
The Kaplun Fellowship was established by Morris Kaplun in honor of his son, who was a senior research fellow at Caltech. The Fellowship funds graduate research in applied mathematics, the field in which Saul worked devotedly until his untimely passing in 1964.
Year | Winner | Advisor |
---|---|---|
2017-2018 | Dmitry Burov | Oscar Bruno |
2016-2017 | De Huang | Thomas Hou |
2015-2016 | Agustin Fernandez Lado | Oscar Bruno |
2014-2015 | Emmanuel Garza Gonzales | Oscar Bruno |
2014-2015 | Max Budninskiy | Mathieu Desbrun |
2013-2014 | Albert Chern | Peter Schroeder |
2008-2009 | John Bruer | Joel Tropp |
2007-2008 | Patrick Sanan | Peter Schröder |
2004-2005 | Chia-Chieh Chu | Thomas Hou |
2003-2004 | Zhiyi Li | Oscar Bruno |
2002-2003 | Lei Zhang | Houman Owhadi |
2001-2002 | Lixiu Tian | Kaushik Bhattacharya |
2001-2002 | Marco Latini | Daniel Meiron |
2000-2001 | Xinwei Yu | Thomas Hou |
1999-2000 | Razvan Fetecau | Jerrold Marsden |
1998-1999 | Mario Chaubell | Oscar Bruno |
1998-1999 | Andrew Westhead | Thomas Hou |
1997-1998 | Andy Greenberg | Oscar Bruno |
1996-1997 | Eugene Ingerman | Herbert Keller |
1995-1996 | Yalchin Efendiev | Thomas Hou |
1995-1996 | James Gleeson | Philip Saffman |
1995-1996 | Russina Philippakos | Gerald Whitham |
1994-1995 | Hui Si | Thomas Hou |
1994-1995 | Maciej Dudek | Joel Franklin |
1993-1994 | David Haroldsen | Daniel Meiron / Thomas Hou |
1992-1993 | Patrick Lahey | Daniel Meiron |
Kortschak Scholars Program
The Kortschak Scholars Program was founded in 2017 with the objective of launching a new era of scholarship, inquiry, and innovation in computing and mathematical sciences at Caltech. Caltech trustee and venture capitalist Walter Kortschak (MS '82), with his wife, Marcia, created the program through a $5 million gift for endowed graduate fellowships.
More information about the Kortschak Scholars Program can be found here.
Year | Winner | Advisor |
---|---|---|
2021 | Edoardo Calvello | Andrew Stuart / Houman Owhadi |
2021 | Emily Fourney | Joel Burdick |
2021 | William (Robbie) King | Thomas Vidick |
2021 | Albert Li | Aaron Ames |
2021 | Guanzhi Wang | Anima Anandkumar |
2020 | Laure Delisle | Yisong Yue / Pietro Perona |
2020 | Eitan Levin | Venkat Chandrasekaran / Joel Tropp |
2020 | Yiheng Lin | Adam Wierman / Yisong Yue |
2020 | Cameron Voloshin | Yisong Yue / Anima Anandkumar / Katie Bouman |
2020 | Zihui (Ray) Wu | Katie Bouman |
2019 | Noel Csomay-Shanklin | Aaron Ames |
2019 | Berthy Feng | Katie Bouman / Pietro Perona |
2019 | Zongyi Li | Anima Anandkumar |
2019 | Wyatt Ubellacker | Aaron Ames |
2018 | Yifan Chen | Thomas Hou / Andrew Stuart / Houman Owhadi |
2018 | Hsin-Yuan (Robert) Huang | Yisong Yue / Anima Anandkumar |
2018 | Yousuf Soliman | Peter Schroeder / Andrew Stuart / Houman Owhadi |
2018 | Alexander Poremba | Thomas Vidick |
2017 | Andrea Coladangelo | Thomas Vidick |
2017 | Victor Dorobantu | Soon-Jo Chung |
2017 | Jennifer Sun | Aaron Ames |
LEAP Alliance Fellowship
The LEAP Alliance is focused on diversifying future leadership in the computing professoriate as a way to increase diversity across the field of computing. In terms of diversity, the LEAP Alliance focuses on doctoral students from the following communities: African Americans, Hispanics, Native Americans/Indigenous Americans, and Students with Disabilities. Being recognized as a LEAP Fellow provides the following opportunities:
- Community of LEAP Fellows: The LEAP Alliance provides opportunities for the LEAP Fellows at the institutions within a given cohort to meet in-person at events such as the Tapia Conference, as well as virtually via webinars and other activities. In addition to getting to know the LEAP Fellows within a cohort, the LEAP Alliance provides opportunities to get to know other LEAP Fellows across all three cohorts focused on computing doctoral programs.
- Professional Develop Activities: The LEAP Alliance works with companies such as Google and Microsoft to provide professional development activities to learn about research in industry as well as academic career paths via the CMD-IT Academic Careers Workshops, organized in collaboration with CAHSI and AccessComputing.
- Mentoring Program: The LEAP Alliance will develop a mentoring program that goes across the individual institutions.
Year | Winner | Advisor(s) |
---|---|---|
2023-2024 | Massimiliano de Sa | Aaron Ames |
2022-2023 | Carmen Amo Alonso | John Doyle |
2022-2023 | Tinashe Handina | Eric Mazumdar and Adam Wierman |
2022-2023 | Ivan Jimenez Rodriguez | Yisong Yue |
PIMCO Fellows
The PIMCO Fellows Program is the result of a partnership between Caltech and PIMCO around Data Science at the interface of the Social and Information Sciences. The program recognizes and supports graduate students and postdoctoral scholars that have had a remarkable impact in data science, broadly defined, and its application to the social sciences.
Graduate Students
Year | Winner | Advisor |
---|---|---|
2024-2025 | Nicolas Christianson | Adam Wierman / Steven Low |
2024-2025 | Sabera Talukder | Georgia Gkioxari / Yisong Yue |
2023-2024 | Lauren Conger | Eric Mazumdar / Franca Hoffmann / John Doyle |
2023-2024 | Hongkai Zheng | Yisong Yue |
2022-2023 | Wanying Huang | Omer Tamuz |
2022-2023 | Yiheng Lin | Adam Wierman / Yisong Yue |
2021-2022 | Zongyi Li | Anima Anandkumar |
2021-2022 | Lucien Werner | Steven Low |
2020-2021 | Sara M. Beery | Pietro Perona |
2020-2021 | Sumit Goel | Federico Echenique |
2019-2020 | Wade Hann-Caruthers | Omer Tamuz |
2019-2020 | Yu Su | Adam Wierman |
2018-2019 | Juba Ziani | Katrina Ligett |
2018-2019 | Navid Azizan Ruhi | Babak Hassibi / Adam Wierman |
Postdoctoral Scholars
Year | Winner | Faculty Sponsor |
---|---|---|
2024-2025 | Wenqi Cui | Steven Low |
2023-2024 | Kishan Badrinath | Eric Mazumdar / Adam Wierman |
2022-2024 | Zaiwei Chen | Adam Wierman / Eric Mazumdar |
2021-2023 | Fedor Sandomirskiy | Omer Tamuz |
2021-2022 | Alexander Bloedel | Federico Echenique |
2021-2022 | Pan Xu | Anima Anandkumar |
2020-2021 | Guannan Qu | Steven Low / Adam Wierman |
2020-2021 | Joseph Root | Omer Tamuz |
2019-2020 | Kevin He | Federico Echenique |
2019-2020 | Anqi (Angie) Liu | Anima Anandkumar / Yisong Yue |
2018-2019 | Yuxin Chen | Yisong Yue |
Simoudis Discovery Prize
The Simoudis Discovery Prize provides seed funds for emerging projects at the intersection of big data, machine learning, and autonomy. The funds are allocated yearly to support proposed research from student or postdoc in these areas, with the recipient selected by a committee of faculty.
Year | Winner | Advisor/Faculty Sponsor |
---|---|---|
2023-24 | Fengze Xie | Soon-Jo Chung / Yisong Yue |
2022-23 | Zaiwei Chen | Eric Mazumdar / Adam Wierman |
2021-22 | Maegan Tucker | Aaron Ames |
2020-21 | Guanya Shi | Yisong Yue / Soon-Jo Chung |
2019-20 | Guannan Qu | Steven Low / Adam Wierman |
2018-19 | Karena X. Cai | Soon-Jo Chung |
2017-18 | Xiaobin Xiong | Aaron Ames |
Dissertation Awards
Amori Doctoral Prize in CMS
The Amori Prize was established in 2017 by Michael Amori (MS 2007) to honor outstanding dissertations in the computing and mathematical sciences during the current academic year. Awardees are selected by a committee of computing and mathematical sciences faculty each spring.
Year | Winner | Advisor |
---|---|---|
2024 | Jing Yu | John Doyle / Adam Wierman |
2023 | Elijah Cole | Pietro Perona |
2022 | Sara Beery | Pietro Perona |
2021 | Riley Murray | Venkat Chandrasekaran / Adam Wierman |
2020 | Hoang Minh Le | Yisong Yue |
2019 | John Pang | Adam Wierman |
2017 | Rachel Cummings | Katrina Ligett |
Bhansali Family Prize in Computer Science
The Bhansali Family Prize was established by Vineer Bhansali (B.S. '87, M.S. '87) in memory of his grandfather, Mag Raj Bhansali and his father Rajendra Kumar Bhansali. The prize and honorarium are given to honor outstanding dissertations in computer science, broadly defined, during the current academic year. Awardees are selected by a committee of computer science faculty each spring.
Year | Winner | Advisor |
---|---|---|
2023 | Alexander Poremba | Thomas Vidick |
2022 | Gautam Goel | Babak Hassibi |
2021 | Zachary Lee | Steven Low |
2020 | Andrea Coladangelo | Thomas Vidick |
2019 | Juba Ziani | Adam Wierman / Katrina Ligett |
2018 | Xiaoqi Ren | Adam Wierman |
W. P. Carey & Co. Prize in Applied Mathematics
The Carey & Co. Prize was established by William P. Carey and W. P. Carey & Co., Inc. The prize and honorarium are awarded to outstanding doctoral dissertations in applied mathematics in the current academic year. Awardees are selected by a committee of applied mathematics faculty.
Year | Winner | Advisor |
---|---|---|
2024 | Daniel Leibovici | Oscar Bruno |
2024 | Nicholas Nelsen | Andrew Stuart |
2023 | Christoph Bauinger | Oscar Bruno |
2023 | Yifan Chen | Thomas Hou / Houman Owhadi / Andrew Stuart |
2022 | Jiajie Chen | Thomas Hou |
2021 | Florian Schäfer | Houman Owhadi |
2020 | Agustin Fernandez-Lado | Oscar Bruno |
2020 | Armeen Taeb | Venkat Chandrasekaran |
2019 | Yong Sheng Soh | Venkat Chandrasekaran |
2017 | Albert Chern | Peter Schroeder |
2017 | Pengchuan Zhang | Tom Hou |
2016 | Eldar Akhmetgaliyev | Oscar Bruno |
2015 | Max A. Cubillos-Moraga | Oscar Bruno |
2014 | Faisal Amlani | Oscar Bruno |
2014 | Peyman Tavallali | Thomas Hou |
2013 | Mulin Chang | Thomas Hou |
2013 | Michael McCoy | Joel Tropp |
2012 | Xin Hu | Thomas Hou |
2012 | Stephane Lintner | Oscar Bruno |
2011 | Stephen Becker | Emmanuel Candes |
2011 | Yaniv Plan | Emmanuel Candes |
2011 | Molei Tao | Houman Owhadi / Jerrold Marsden |
2010 | Chia-Chieh (Jay) Chu | Thomas Hou |
2009 | Ari Joshua Stern | Jerrold Marsden / Mathieu Desbrun |
2008 | Hannes Helgason | Emmanuel Candes |
2008 | David Hoch | Oscar Bruno |
2007 | Lei Zhang | Houman Owhadi |
2006 | Laurent Demanet | Emmanuel Candes |
2006 | David Goulet | Donald Cohen |
2006 | Wuan Luo | Thomas Hou |
2005 | Xinwei Yu | Thomas Hou |
2004 | Jay Bartroff | Gary Lorden |
2003 | E. McKay Hyde | Oscar Bruno |
2003 | Razvan Fetecau | Jerrold Marsden |
2002 | Bogdan Craciun | Kaushik Bhattacharya |
2001 | Mayya Tokman | Dan Meiron |
2001 | Gang Hu | Thomas Hou |
2000 | Philip Love | Herbert Keller |
1999 | Yalchin Efendiev | Thomas Hou |
1999 | James P. Gleeson | Philip Saffman |
1998 | No prize awarded | - |
1997 | Alexander Kiselev | Barry Simon |
1996 | No prize awarded | - |
1995 | Slawomir J. Solecki | Alexander Kechris |
1994 | Alexander Lesin | Dinakar Ramakrishnan |
1992 | Ramin Naimi | David Gabai |
1988 | Robert Cox | Donald Cohen |
1988 | Michael J. Ward | Donald Cohen |
1987 | Juan Zufiria | Philip Saffman |
1985 | Michael E. Henderson | Herbert Keller |
1985 | Wiliam Henshaw | Heinz-Otto Kreiss |
1983 | Luis Guillermo M. Reyna | Heinz-Otto Kreiss |
1982 | John Wilson Barker | Heinz-Otto Kreiss |
1981 | William L. Kath | Donald Cohen |
Ben P.C. Chou Doctoral Prize in IST
The Ben P.C. Chou Doctoral Prize recognizes outstanding doctoral dissertations in the broad area of information science and technology. The Prize was established by his wife, June, and his son, Scott (BS 1986), as a lasting tribute for Ben's lifetime dedication to the pursuit of scholarly research and foregoing personal gain in favor of always doing the right thing for society.
Professor Pen-chu "Ben" Chou was born in China and suffered a childhood disrupted by a revolutionary war that ultimately took his father. At the age of 13, his mother took him and his two younger sisters to Taiwan as war refugees where she raised the three of them on her own. Prof Chou went on to complete his undergraduate at Tunghai University, his master's degree at the University of Missouri, and his doctorate at the University of Oklahoma. He spent the bulk of his career doing research and teaching at The Texas Center for Superconductivity at the University of Houston and Jilin University in Changchun, China. Prof Chou is noted for his pioneering contributions in developing photoreactivity for thin film superconductors and helping establish OCEF, an international charitable foundation headquartered in Houston, Texas.
Year | Winner | Advisor |
---|---|---|
2024 | Hsin-Yuan (Robert) Huang | John Preskill / Thomas Vidick |
2023 | Jennifer Sun | Pietro Perona and Yisong Yue |
2022 | Guanya Shi | Soon-Jo Chung and Yisong Yue |
2021 | Thomas Anderson | Oscar Bruno |
2020 | Grant Van Horn | Pietro Perona |
2019 | Yong Sheng Soh | Venkat Chandrasekaran |
2018 | Chun-Lin Liu | Paighat P. Vaidyanathan |
2017 | Albert Chern | Peter Schroeder |
UG Academic & Research Awards
Bhansali Family Prize in Computer Science
The Bhansali Family Prize was established in 2001 by Vineer Bhansali (B.S. '87, M.S. '87) in memory of his grandfather, Mag Raj Bhansali. The prize and honorarium are awarded to an undergraduate student for outstanding research in computer science in the current academic year. Awardees are selected by a committee of computer science faculty.
Year | Winner | Advisor |
---|---|---|
2024 | Andrei Staicu | Leonard Schulman |
2024 | Eric Ma | Leonard Schulman |
2024 | Manav Kant | Leonard Schulman |
2023 | James Bowden | Yisong Yue |
2023 | Laura Lewis | John Preskill / Thomas Vidick |
2022 | Megan Tjandrasuwita | Yisong Yue |
2021 | Maya Srikanth | Leonard Schulman / Jaksa Cvitanic |
2020 | Si Hui (Sophie) Dai | Anima Anandkumar |
2019 | Zachary Chase | Fernando Brandao |
2019 | Siddharth Prasad | Adam Wierman |
2018 | Ching-Yun (Chloe) Hsu | Chris Umans |
2018 | Jacob (Jalex) Stark | Thomas Vidick |
2017 | Joon Sik Kim | Yisong Yue |
2016 | Nicholas Schiefer | Erik Winfree |
2015 | Bryan He | Yisong Yue |
2015 | William Hoza | Leonard Schulman |
2015 | Nicholas Schiefer with honorable mention | Erik Winfree |
2014 | Iris Zhengzheng Liu | Adam Wierman |
2013 | EunJee Lee | Michelle Effros |
2012 | No prize awarded | |
2011 | Karthik Sarma | Mani Chandy |
2010 | Isaac Jushiang Chao | Peter Schröder |
2009 | Robert Barish | Erik Winfree |
2008 | Fedor Manin | Chris Umans |
2007 | Siddharth Patel | Mani Chandy |
2006 | Matthew Fisher | Mathieu Desbrun |
2005 | Shaun Lee | Erik Winfree |
2004 | Elliott Karpilovsky | Steven Low |
2003 | Jeffrey Bolz | David Wales |
2002 | Miroslav Dudik | Peter Schröder |
Henry Ford II Scholar Award
The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to the engineering student with the best academic record at the end of the third year of undergraduate study.
Year | Winner | Advisor |
---|---|---|
2021 | Ethan Mann | Adam Blank |
2021 | Alexander Wang | Adam Blank / Antonio Rangel |
2020 | Rahul Arun | Aaron Ames / Beverly McKeon |
2020 | Ishani A Karmarkar | Andrew Stuart / Sandra Troian |
2020 | June Kim | Adam Wierman |
2020 | June Kim | Adam Wierman |
2020 | Caleb Sander | Thomas Vidick |
2019 | James McLaughlin | Peter Schroeder |
2019 | Yanke Song | Peter Schroeder |
2019 | Ray Sun | John Doyle |
2018 | Ayya Allieva | Houman Owhadi |
2018 | Ethan Pronovost | John Doyle |
2017 | Ching-Yun (Chloe) Hsu | Chris Umans |
2016 | Nand Kishore | Adam Wierman |
2016 | Kushal Agarwal | Mathieu Desbrun |
2015 | Taokun Zheng | Alan Barr & Adam Wierman |
2014 | Dae Hyun Kim | Adam Wierman |
2013 | Kevin Chen | Alain Martin |
2012 | Judy Mou | Peter Schröder |
2012 | Michael Hirshleifer | Adam Wierman |
2011 | Ye Lu | Chris Umans |
Frederick J. Zeigler Memorial Award
The Fredrick J. Zeigler Memorial Award was established in 1989 to honor Fredrick J. Zeigler, a member of the class of 1976 and an applied mathematics major. The award recognizes excellence in scholarship as demonstrated in class activities or in the preparation of an original paper or essay in any subject area within mathematics or applied mathematics.
Year | Winner | Advisor |
---|---|---|
2023 | Theresa Zhang | Oscar Bruno |
2022 | Pavlos Stavrinides | Venkat Chandrasekaran |
2021 | Hannah X. Chen | Andrew Stuart |
2020 | Anish Senapati | Thomas Hou |
2017 | Ayya Alieva | Houman Owhadi |
2016 | Celia Zhang | Thomas Hou |
2014 | William Hoza | Leonard Schulman |
Teaching Awards
Northrop Grumman Prize for Excellence in Teaching
The Northrop Grumman Prize for Excellence in Teaching is awarded to an EAS professor or lecturer who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching.
The Northrup Grumman Prize is awarded EAS-wide and the following CMS professors have been recipients of the award. The full list of recipients can be found here.
Year | Winner | |
---|---|---|
2022 | Adam Wierman | |
2021 | Adam Blank | |
2019 | Konstantin Zuev | |
2017 | Chris Umans |
Thomas A. Tisch Prize for Graduate Teaching in Computing and Mathematical Sciences
The Graduate Teaching in CMS Award was established in 2016 with a gift from Microsoft and then endowed through the generosity of Thomas A. Tisch (BS '61). The prize and honorarium are awarded to a graduate student for outstanding teaching and course development in computing and mathematical sciences. Awardees are selected by a committee of CMS faculty members.
Year | Winner | Advisor |
---|---|---|
2024 | Laure Delisle | Pietro Perona |
2024 | Rogério Guimarães | Pietro Perona |
2024 | Neehar Kondapaneni | Pietro Perona |
2024 | Suzanne Stathatos | Pietro Perona |
2024 | Zihui Wu | Katie Bouman |
2023 | Christopher Yeh | Adam Wierman and Yisong Yue |
2022 | Ethan Epperly | Venkat Chandrasekaran and Joel Tropp |
2022 | Eitan Levin | Venkat Chandrasekaran and Joel Tropp |
2022 | Margaret Trautner | Houman Owhadi and Andrew Stuart |
2021 | Qilin Li | Pietro Perona |
2020 | Andrew Taylor | Aaron Ames |
2019 | Riley Murray | Adam Wierman |
2018 | Ellen Feldman Novoseller | Joel Burdick |
2017 | Albert Chern | Peter Schroeder |
Thomas A. Tisch Prize for Undergraduate Teaching in Computing and Mathematical Sciences
The Undergraduate Teaching in CMS Award was established in 2016 with a gift from Microsoft and then endowed through the generosity of Thomas A. Tisch (BS '61). The prize and honorarium are awarded to an undergraduate student for outstanding teaching and course development in computing and mathematical sciences. Awardees are selected by a committee of CMS faculty members.
Year | Winner | Advisor |
---|---|---|
2024 | Neil Janwani | |
2023 | Pavlos Stavrinides | Venkat Chandrasekaran |
2022 | Sarah Dunbar | Adam Blank |
2021 | Ishani Karmarkar | Joel Tropp |
2021 | Ethan Ordentlich | Adam Blank |
2021 | Alexander Zlokapa | Maria Spiropulu |
2020 | Vivek Bharadwaj | Peter Schroeder |
2020 | William Overman | Xinwen Zhu |
2020 | Caleb Sander | Thomas Vidick |
2019 | Aadyot Bhatnagar | Yisong Yue |
2019 | Ethan Pronovost | John Doyle |
2018 | Maitreyi Ashok | Jehoshua Bruck |
2018 | Zachary Domanico | Fernando Brandao |
2017 | Chinmay Nirkhe | Nets Katz |
Richard P. Feynman Prize for Excellence in Teaching
The Richard P. Feynman Prize for Excellence in Teaching was established in 1993 to honor annually a professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching.
The Richard P. Feynman Prize for Excellence in Teaching is awarded campus-wide and the following CMS professors have been recipients of the award. The full list of recipients can be found here.
Year | Winner | |
---|---|---|
2022-2023 | Lulu Qian, Bioengineering | |
2005-2006 | Richard Murray, Control and Dynamical Systems | |
2002-2003 | Niles Pierce, Applied and Computational Mathematics | |
1999-2000 | Donald Cohen, Applied Mathematics | |
1995-1996 | Yaser Abu-Mostafa, Electrical Engineering and Computer Science |
ASCIT Teaching Award
These awards are presented once a year by the Associated Students of the California Institute of Technology (ASCIT) to faculty members and teaching assistants who have been nominated by the students for their ability to inspire and motivate students through teaching.
The ASCIT Teaching Award is awarded campus-wide and the following CMS professors have been recipients of the award. The full list of recipients can be found here.
Year | Winner | |
---|---|---|
2022-2023 | Kostia Zuev | |
2021-2022 | Elizabeth Qian | |
2018-2019 | Adam Blank, Lulu Qian | |
2017-2018 | Thomas Vidick, Kostantin Zuev | |
2016-2017 | Adam Wierman | |
2014-2015 | Dan Meiron | |
2010-2011 | Donnie Pinkston | |
2009-2010 | Adam Wierman | |
2008-2009 | Chris Umans | |
2007-2008 | Mani Chandy, Mathieu Desbrun, Joel Tropp | |
2005-2006 | Niles Pierce | |
2004-2005 | Richard Murray | |
2003-2004 | Mani Chandy | |
2001-2002 | John Preskill | |
2000-2001 | Oscar Bruno | |
1998-1999 | Dan Meiron | |
1997-1998 | Don Cohen | |
1990-1991 | Yaser Abu-Mostafa, John Preskill | |
1989-1990 | Joel Burdick | |
1988-1989 | Yaser Abu-Mostafa | |
1986-1987 | Don Cohen | |
1985-1986 | Yaser Abu-Mostafa | |
1977-1978 | Don Cohen |
Gradient for Change Awards
The CMS and IST Gradient for Change Awards honor students, postdocs, staff, and faculty in the Caltech community who demonstrate exceptional efforts to make Caltech and/or the broader scientific community a more diverse, equitable, and inclusive environment. The awards recognize and highlight individual contributors or small teams who are considered agents of change, community leaders, and/or allies to historically marginalized group(s) in the information sciences, including computer science, applied mathematics, and beyond.
More information can be found here.
Year | Winner | |
---|---|---|
2024 | Thomas Henning | |
2023 | Thierno Diallo | |
2022 | Apurva Badithela | |
2022 | Elizabeth Qian | |
2022 | Joy Shi | |
2021 | Sara Beery | |
2021 | Adam Blank | |
2021 | Claire Ralph |
Mentoring Awards
Department of Computing and Mathematical Sciences Award for Excellence in Mentoring
The Department of Computing and Mathematical Sciences Award for Excellence in Mentoring is given to outstanding alumni mentors who consistently provide invaluable advice, time, and connections to undergraduate and graduate students and postdoctoral researchers. These mentors are able to connect with a diverse group of young scientists and engineers, promoting opportunity for all, and supporting an informed, confident community.
Year | Name | Class/Major |
---|---|---|
2024 | Joshua Hutchins | BS'10ME |
2024 | Evan Tsang | BS'99ENG |
2023 | Thomas Schrans | MS'88 EE / PHD'94 EE |
2023 | Atul Suklikar | BS'91 EE |
2022 | Anthony Chong | BS'10 CS |
2022 | Miral Kim-E | BS'78 CHE |
2021 | Kenneth Rousseau | BS'79 LIT / BS'79 PH / MS'80 APH |
2021 | Ann Stimmler Johnson | BS'99 EE / MS'00 EE |
2020 | Beatrice Fu | BS'80 ENG |
2020 | Adam Slovik | BS'88 ENG |
2019 | Philip Naecker | BS’76 ENG |
2019 | Michael Walsh | BS’81 AMA |