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Swarat Chaudhuri

Swarat Chaudhuri

Associate Professor
Computer Science
University of Texas, Austin
swarat@cs.utexas.edu
CV | Twitter | GitHub

Bio

Swarat Chaudhuri is an Associate Professor of computer science at the University of Texas at Austin. His research lies in the intersection of Programming Languages (PL) and Machine Learning (ML). Specifically, he studies ways in which PL and ML techniques can be brought together to build robust and trustworthy intelligent systems targeting complex tasks such as software development and robot control.

Swarat received a bachelor’s degree in computer science from the Indian Institute of Technology, Kharagpur, in 2001, and a doctoral degree in computer science from the University of Pennsylvania in 2007. Before joining UT Austin, he held faculty positions at Rice University and the Pennsylvania State University. He is a recipient of the National Science Foundation CAREER award, the ACM SIGPLAN John Reynolds Doctoral Dissertation Award, and the Morris and Dorothy Rubinoff Dissertation Award from the University of Pennsylvania.

Ph.D. Students

Amitayush Thakur
Amitayush Thakur
Graduate Student


Dweep Trivedi
Dweep Trivedi
Graduate Student


Eric Hsiung
Eric Hsiung
Graduate Student


Thomas Logan
Thomas Logan
Graduate Student


Greg Anderson
Greg Anderson
Graduate Student

greganderson314@gmail.com   Profile  

Greg Anderson is a PhD student at UT Austin, focusing on the intersection of program analysis and machine learning. Specifically, he is interested in developing formal approaches to verifying learning-enabled systems in order to increase their safety and reliability, and to allow such systems to be deployed more widely and more confidently.


Samuel Anklesaria
Samuel Anklesaria
Graduate Student

Sam Anklesaria is a PhD student broadly interested in probabilistic programming, causal effect estimation, and approximate inference. Specifically, his research explores representations and inference algorithms for relational models.


Josh Hoffman
Josh Hoffman
Graduate Student

Profile  

Josh Hoffman is a PhD student at UT Austin broadly interested in deep learning and symbolic techniques for robotics. Specifically, he is working on techniques in reinforcement learning that can be deployed on mobile robots via low-shot learning. He is also a member of the Autonomous Mobile Robotics lab and co-advised by Joydeep Biswas.


Atharva Sehgal
Atharva Sehgal
Graduate Student

Profile  

Atharva Sehgal is a PhD student in the CS department at UT Austin. He’s broadly interested in making up for the inherent weaknesses in deep learning algorithms using techniques from programming languages and formal methods. He’s currently working at the intersection of program synthesis and perception.


Meghana Sistla
Meghana Sistla
Graduate Student

Profile  

Meghana Sistla is a PhD student at UT Austin in the Department of Computer Science, advised by Prof. Swarat Chaudhuri. She is broadly interested in the area of Programming Languages and Machine Learning. Before joining UT, she worked at Google after graduating from IIT Madras with Bachelors and Masters in Computer Science.


Yeming Wen
Yeming Wen
Graduate Student

Profile  

Yeming Wen is a graduate student at UT Austin at the computer science department, advised by Prof. Swarat Chaudhuri. His research focused on building a machine learning framework to generate code with human-like efficiency. Before joining UT Austin, he was a master student in computer science advised by Prof. Jimmy Ba at University of Toronto. He worked on the development of efficient learning algorithms for deep neural networks.


Chenxi Yang
Chenxi Yang
Graduate Student

Profile  

Chenxi Yang is a graduate student at UT-Austin. Her interests span the areas of programming language and machine learning, with a focus on interpretability and safety. Her current projects are about learning safe neurosymbolic programs and learning interpretable neurosymbolic programs for biology.


Masters Students

Christopher Hahn

Name Years in the Lab First Appointment
Suguman Bansal 2015-2016 PhD student, Rice University
Ana Brendel 2020-2022 Ph.D. student, UCLA
Dipak Chaudhari 2017-2022 Meta
Neil Dantam 2015-2017 Assistant Professor, Colorado School of Mines
Hassan Eldib 2015-2017 Assistant Professor, Arab Academy of Science and Engineering, Cairo
Ye Fang 2012-2014 Youtube
John Feser 2013-2016 PhD student, MIT
Yanxin Lu 2012-2018 Facebook
Roberto Lublinerman 2008-2012 Google
Anders Miltner 2020-2022 Assistant Professor, Simon Fraser University
Vijayaraghavan Murali 2015-2018 Facebook
Srinivas Nedunuri 2012-2014 Sandia National Laboratory
Sailesh Prabhu 2013-2014 Google
Afsaneh Rahbar 2015-2017 PhD student, Rice University
Ameesh Shah 2017-2020 PhD student, UC Berkeley
Calvin Smith 2020-2022
Abhinav Verma 2016-2021 Hartz Family Assistant Professor, Pennsylvania State University
Yue Wang 2013-2018 Facebook
Edwin Westbrook 2011-2013 Galois