Graduate Research Assistant, 08/2019 to present

• Designed and implemented diverse machine learning methods to address pressing public health and clinical challenges.
• Processed and analyzed large clinical datasets of 120 million insurance records for over 6 million people in Virginia.
• Contributed to the CDC COVID-19 response strategy with forecasting reports, ranked top 5 among 90 groups.
• Published at top conferences and journals such as NeurIPS, ICML, AAAI and received multiple awards in machine learning competitions.
• Collaborating closely with domain specialists, including CDC officials, epidemiologists, computer scientists, and clinicians.

Undergraduate Research Assistant, 03/2017 to 07/2019

• Designed data mining algorithms to identify the most influential papers within specific research fields (funded by National Science Foundation of China (NSFC))
• Processed and analyzed large datasets of academic network covering 222 million papers and 104 million authors using Python.
• Designed a website for data visualization, achieving 10k+ visits since 2019.