About Me

I am currently working as an Applied Scientist at Amazon focusing on Generative AI and Agentic AI projects. Before joing Amazon, I was a Quantitative Researcher at JPMorgan, where I developed ML/Stats models related to capital requirements for the bank. On the academic front, I hold a PhD in statistics from Purdue University, advised by Prof. Guang Cheng and Prof. Qifan Song. My doctoral research mainly focused on sparse deep learning, variational inference and Bayesian statistics.

Professional Experience

• Applied Scientist, Amazon, July 2022 \(-\) present
• Quantitative Researcher, JPMorgan, Nov 2020 \(-\) June 2022
• Quantitative Research Intern, JPMorgan, May 2019 \(-\) Aug 2019
• Quantitative Analyst/Data Scientist Intern, Google, May 2017 \(-\) Aug 2017

News

• [05/2025] One paper accepted to SIGIR 2025
• [03/2025] One paper received Best Paper Award (ML track) in Consumer Science Summit 2025