I am a co-founder of Trustworthy AI, an automated test generation and risk modeling platform for safety-critical software. I work on problems at the intersection of machine learning, optimization, statistics, and control. Overall, I try to make computers faster and smarter on problems that matter to people.
Previously, I received a PhD at Stanford, where my advisor was John Duchi. My main research focused on distributionally robust optimization and rare-event simulation, and it involved many collaborations with Russ Tedrake at MIT. I was a member of the Statistical Machine Learning Group, and I also researched medical applications of machine learning as part of the Wearable Health Lab. I was supported by a Stanford Graduate Fellowship and a Hertz Fellowship.
Before Stanford, I received an MPhil in Information Engineering at the University of Cambridge on a Churchill Scholarship, where I was advised by Glenn Vinnicombe and Carl Rasmussen. I received a BSE in Mechanical and Aerospace Engineering at Princeton; my thesis advisor was Naomi Leonard, and I also worked in the research groups of Howard Stone and Lex Smits.
FormulaZero: distributionally robust online adaptation via offline population synthesis. Aman Sinha*, Matthew O'Kelly*, Hongrui Zheng*, Rahul Mangharam, John Duchi, Russ Tedrake. ICML 2020. [link] [pdf] [arxiv] [code] [slides] [talk]
Efficient black-box assessment of autonomous vehicle safety. Justin Norden*, Matthew O'Kelly*, Aman Sinha*. NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving, CVPR 2020 Workshop on Scalability in Autonomous Driving. [arxiv] [blog]
Digital biomarkers of spine and musculoskeletal disease from accelerometers: Defining phenotypes of free-living physical activity in knee osteoarthritis and lumbar spinal stenosis. Christy Tomkins-Lane, Justin Norden, Aman Sinha, Richard Hu, Matthew Smuck. The Spine Journal, 2019. Outstanding Paper Award. [link]
Scalable end-to-end autonomous vehicle testing via rare-event simulation. Matthew O'Kelly*, Aman Sinha*, Hongseok Namkoong*, John Duchi, Russ Tedrake. NeurIPS 2018. [link] [pdf] [arxiv] [code] [poster] [videos]
Objective measurement of function following lumbar spinal stenosis decompression reveals improved functional capacity with stagnant real-life physical activity. Matthew Smuck, Amir Muaremi, Patricia Zheng, Justin Norden, Aman Sinha, Richard Hu, Christy Tomkins-Lane. The Spine Journal, 2018. Outstanding Paper Award. [link]
Objective measurement of free-living physical activity (performance) in lumbar spinal stenosis: are physical activity guidelines being met? Justin Norden, Matthew Smuck, Aman Sinha, Richard Hu, Christy Tomkins-Lane. The Spine Journal, 2017. Outstanding Paper Award Runner-up. [link]
Past and present research collaborators (alphabetically by last name in reverse chronological order): John Duchi, Matthew O'Kelly, Russ Tedrake, Rahul Mangharam, Hongrui Zheng, Justin Norden, Richard Hu, Matthew Smuck, Christy Tomkins-Lane, Hongseok Namkoong, Amir Muaremi, Patricia Zheng, Steve Yadlowsky, Nick Bambos, Leo Hellström, Lex Smits
Distributed consensus protocols in adaptive multi-agent systems. Aman Sinha. Princeton University Undergraduate Thesis, 2013. Awarded Morgan W. McKinzie '93 Senior Thesis Prize for best senior thesis. [link] [pdf]
Single-particle motion in colloids: nonlinear fluctuations in the presence of hydrodynamic interactions. Aman Sinha. Princeton University Junior-Year Independent Study, 2012. [link]