Bio

Research and Background

I am a machine learning research scientist and Director of Engineering at Qualcomm AI Research. We have led various efforts such as the Qualcomm 5G AI Suite and Efficient Reasoning on the Edge. I work on neural reasoning, agentic AI, machine learning design for wireless communication, learning theory, and inverse problems.

My broader interests include information theory, compressed sensing, mathematical signal processing, and the theoretical foundations of learning systems.

Prior to Qualcomm, I was a senior researcher at the Institute for Theoretical Information Technology at RWTH Aachen University and at TU Berlin.

I also studied Philosophy at Pantheon-Sorbonne University, where I worked with Friederike Moltmann. My interests there include philosophy of language, ontology, historical epistemology, philosophy of mind, and political philosophy.

I received the Best Technical Paper Award for "A Compressed Sampling for Spherical Near-Field Measurements" at AMTA 2018 and the Best Student Paper Award for "On Generation of Adversarial Examples Using Convex Programming" at the Asilomar Conference on Signals, Systems and Computers in 2018.