Tian Feng

AI Researcher | Data Scientist | Geophysicist

About Me

Experienced Data Scientist with a Ph.D. in Geophysics, specializing in AI and deep learning. Demonstrated expertise in developing AI solutions and impactful research, highlighted by major projects at Capital One and notable publications. Skilled in using large language models (LLM) and advanced machine learning to address complex challenges.

Experience

Principal Data Scientist (Generative AI) - Capital One

Jun 2022 – Present | New York, NY

  • Developed an AI agent MVP powered by LLM for customer service tasks.
  • Created and deployed three Deep Learning models, handling 75 million annual servicing calls. (ASR, NLP, sentiment analysis)
  • Led a team to win Capital One AI Hackathon among 21 teams.

PhD Data Science Intern - Capital One

Jun 2021 – Aug 2021 | New York, NY

  • Developed an advanced ASR system for call transcription.

Research Assistant - UCLA Seismology Lab

Sep 2016 – May 2022 | Los Angeles, CA

  • Published 7 research papers with over 280 citations, focusing on Deep Learning in Geophysics.
  • Developed GNN and transformer-based models for earthquake monitoring.

Education

Ph.D. in Geophysics and Space Physics

University of California, Los Angeles (UCLA) | May 2022

Bachelor of Science in Geophysics, minor in Computer Science

Nanjing University | Jun 2016

Publications [click to Google Scholar]

  • Feng, T. (2022). Navigating Microseismicity Characterization with Backprojection, Matched-filter, and Deep Learning. University of California, Los Angeles.
  • Feng, T., Mohanna, S., & Meng, L. (2022). Edgephase: A deep learning model for multi‐station seismic phase picking. Geochemistry, Geophysics, Geosystems, 23(11), e2022GC010453.
  • Feng, T., Meng, L., & Huang, H. (2020). Detecting Offshore Seismicity: Combining Backprojection Imaging and Matched‐filter Detection. Journal of Geophysical Research: Solid Earth, 125(8), e2020JB019599.
  • Feng, T., & Meng, L. (2018). A High‐Frequency Distance Metric in Ground‐Motion Prediction Equations Based on Seismic Array Backprojections. Geophysical Research Letters, 45(21), 11-612.
  • Gao, Y., Yu, Z., Yu, S., Sui, H., Feng, T., & Liu, Y. (2024). Metal intrusion enhanced deep learning-based high temperature deterioration analysis of rock materials. Engineering Geology, 335, 107534.
  • Bao, H., Ampuero, J. P., Meng, L., Fielding, E. J., Liang, C., Milliner, C. W., Feng, T. & Huang, H. (2019). Early and persistent supershear rupture of the 2018 magnitude 7.5 Palu earthquake. Nature Geoscience, 12(3), 200-205. [UCLA Press Release] [New York Times] [National Geographic] [JPL press release] [eurekalert.org]
  • Hassani, B., Yong, A., Atkinson, G. M., Feng, T., & Meng, L. (2019). Comparison of site dominant frequency from earthquake and microseismic data in California. Bulletin of the Seismological Society of America, 109(3), 1034-1040.