Aman Sinha

I'm a PhD student at Stanford working at the intersection of machine learning, optimization, and control. I try to make computers faster and smarter on problems that matter to people.

I work in the Artificial Intelligence Lab and Information Systems Lab, jointly advised by John Duchi and Nick Bambos. My recent research includes projects on fast methods for discovering feature representations, distributionally robust optimization, and rare-event simulation. I also collaborate with the Wearable Health Lab on medical applications of machine learning. I'm supported by a William R. Hewlett 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.

I've been fortunate to complement my academic work with practical experience. I have previously worked at Toyota Research Institute (TRI), Quantifind, Microsoft, and Merck.

amans at stanford dot edu, CV, Linkedin, Google scholar

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.

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]

Certifying some distributional robustness with principled adversarial training.
Aman Sinha*, Hongseok Namkoong*, John Duchi. ICLR 2018.
Oral presentation.
[link] [pdf] [arxiv] [code] [slides] [talk]

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.

Adaptive sampling probabilities for non-smooth optimization.
Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John Duchi. ICML 2017.
[link] [pdf] [code] [poster]

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.

Learning kernels with random features.
Aman Sinha, John Duchi. NIPS 2016.
[link] [pdf] [code] [poster]

Dynamic management of network risk from epidemic phenomena.
Aman Sinha, John Duchi, Nick Bambos. IEEE CDC 2015.
[link] [pdf] [slides]

Visualizing the very-large-scale motions in turbulent pipe flow.
Leo Hellström, Aman Sinha, Lex Smits. Physics of Fluids, 2011.
[link] [pdf]

Past and present research collaborators (alphabetically by last name in reverse chronological order):
Richard Hu, Justin Norden, Matthew Smuck, Christy Tomkins-Lane, John Duchi, Hongseok Namkoong, Matthew O'Kelly, Russ Tedrake, Amir Muaremi, Patricia Zheng, Steve Yadlowsky, Nick Bambos, Leo Hellström, Lex Smits

Distributed gaussian process regression in networked systems.
Aman Sinha. University of Cambridge MPhil. Thesis, 2014.
[link] [pdf]

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.

I wrote an iOS app that converts handwriting to LaTeX. The website/server backend was developed and is maintained by Gina Triolo and me. More info available here.

One time I had the honor of speaking to many people. [video] [text]