Areas of Expertise

quantitative programming and DevOps


programming languages and major libraries

financial investment research

hardware development

neuroscience research

Professional Experience

Acadian Asset ManagementBoston, MA
Quantitative Developer
Aug 2020-Oct 2023
  • Led upgrade to ~300k LOC codebase safely from Python 2 to Python 3, then from Pandas 0.25 to 2.0. Improved ad-hoc integration test framework and trained team members for the upgrade.
  • Developed and productionized commodity models through close collaboration with portfolio managers.
  • Established a robust data pipeline for model estimation, including data retrieval, parsing, cleaning, transformation, and aggregation.
  • Turned previously loss-making models into profitable ones.
  • Contributed to the development of transaction cost integration in models across equity, bonds, and foreign exchange sectors.
  • Participated in the migration of pipeline orchestration from ActiveBatch to Airflow.
  • Automated and enhanced the trade generation system for variance swaps, reducing manual inventions from PM’s and traders.
Massachusetts Institute of TechnologyCambridge, MA
Post-doctoral fellow
Aug 2015-Aug 2020
  • Collaborated in neuroscience projects, analyzing neuronal encoding with vector regression (SVR), RNN and particle filtering; evaluated with a continuous estimate of mutual information. Developed behavioral task rigs integrated with 2p microscopy.
  • Directed a team in a translational project for a novel drug to treat Rett Syndrome, leading pre-clinical tests and statistical analysis using mixed linear models and non-parametric tests.
  • Created an automated pipeline for two-photon imaging data processing using both conventional and deep learning-based object detection/segmentation techniques.


Vanderbilt UniversityNashville, TN
PhD in Psychology, neuroscience focus/quantitative methods secondary focus
Aug 2015
Fudan UniversityShanghai
BS in Life Sciences
Jul 2009