About Me

• I’m currently an Systems & Algorithm Engineer at Apple Inc. based in Bay Area, California, working on signal processing / machine learning algorithms for various on-device applications including communications, sensing, and silicon/hardware-induced problems. Also, I’m intereted in physics-aware AI/ML algorithms and physics-inspired computing.

• I received my Ph.D degree from Electrical and Computer Engineering Department at University of Illinois Urbana-Champaign in 2022, advised by Prof. Jin Zhou and Prof. Romit Roy Choudhury affiliated with ECE and CS.

• My PhD research direction is two-fold, broadly in interference management techniques. (1) Blocker-tolerant wireless receivers for 5G/Software-defined radios. (2) Signal processing and machine learning algorithm in interference-dominant wireless/acoustics applications.
  • I look for interesting physics-aware algorithmic solutions that can do better job in various scenarios.
  • I strive to get an in-depth understanding on math/physics fundamentals including EM theory, stochastic process, signal processing & machine learning theory.

• Previously, I received my B.Eng degree with highest honors from Tokyo Institute of Technology in 2016. And, I received my M.S degree from University of Michigan at Ann Arbor in 2018.

• I interned at IBM Quantum Research at Yorktown Heights, NY, focusing on stochastic sub-system modeling and algorithms for quantum computing.

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