Apply AI/ML at scale across Meta.

Engage with and recruit prospective students by discussing their experience attending the Harvard Chan School, their career paths, and perspectives working in Data Science.

Leverage Natural Language Processing, Machine Learning and Predictive Modeling across JP Morgan's Corporate Functions and Core Operating Segments, with a focus on Compliance (AML and Negative Media).

Risk Control Big data Modeling Group • Competed the E-commerce Fraud Detection Project and Risk Management Modeling for Critical Illness Insurance, both are parts of https://cloud.tenpay.com/product/Nuclearprotection/protection and currently in production.• Worked with Tencent Distributed Data Warehouse, Data Wrangling and Feature Engineering with SQL and PySpark, Modeling with Python and PySpark

Providing knowledge support regarding machine learning and deep learning in risk management consulting to detect potential fraudulent transactions

Performed data mining, data wrangling, statistical analyses and meta-analyses, and authorship duties on various neurological research projectsPublications:• C. Shi, N. Lamba, L.J. Zheng, D. Cote, Q.R. Regestein, C.M. Liu, Q. Tran, S. Routh, T.R. Smith, R.A. Mekary, M.L.D. Broekman. Depression and Survival of Brain Tumor Patients: A Systematic Review and Meta-Analysis. Clin Neurol Neurosurg. 2018 Jun 18;172:8-19.• N. Lamba, C. Liu, H. Zaidi, M.L.D. Broekman, T. Simjian, C. Shi, J. Doucette, S. Ren, T.R. Smith, R.A. Mekary, A. Bunevicius. A Prognostic Role for Low Tri-iodothyronine Syndrome in Acute Stroke Patients: A Systematic Review and Meta-Analysis. Clin Neurol Neurosurg. 2018 Jun;169:55-63.