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Senior Director of AI & Advanced Analytics, Manulife | John Hancock
AI & Data Science Leader | GenAI • NLP • Data • Healthcare • Insurance • Strategic AI leader with a Ph.D. in Chemistry and an M.S. in Computer Science, bringing 10+ years of hands-on AI and Data Science experience and 8+ years leading end-to-end AI programs. • Proven track record of driving AI innovation in the Healthcare domain for 6+ years, as well as the Insurance/Financial industry for 2+ years, delivering scalable, high-impact solutions. • Experienced in building and managing high-performing AI, Data Science, and Engineering teams while shaping technical vision and execution. • Recognized for thought leadership in designing and implementing AI roadmaps that transform business processes, accelerate adoption of AI & GenAI, and unlock measurable value through fostering reliable partnerships with business, data, and technology teams.
University of Florida
Master’s Degree, Computer Science
January 1, 2014 – January 1, 2016
University of Florida
Ph.D., Organic Chemistry/Polymer Science
January 1, 2011 – January 1, 2016
East China Normal University
Bachelor of Science
January 1, 2006 – January 1, 2010
John Hancock
Senior Director of AI & Advanced Analytics
March 1, 2026 – Present
John Hancock
Director of AI & Advanced Analytics
September 1, 2023 – February 1, 2026
Verana Health
Director, Quantitative Sciences
August 1, 2022 – August 1, 2023
Greater Boston
Verana Health
Senior Manager, Quantitative Sciences
January 1, 2022 – August 1, 2022
Greater Boston
Wolters Kluwer Health
Senior Data Scientist｜Manager
February 1, 2021 – January 1, 2022
Greater Boston Area
Wolters Kluwer Health
Senior Data Scientist
November 1, 2019 – February 1, 2021
Greater Boston Area
C2Sense, Inc.
Senior Machine Learning Engineer
December 1, 2017 – November 1, 2019
Greater Boston Area
Alibaba Group
"Global Dreamer" Training Camp
July 1, 2015 – August 1, 2015
Hangzhou, Zhejiang, China
TD Energy
Data Analyst
March 1, 2010 – August 1, 2011
Shanghai, China
Data Mining of Amazon Website (Python)
August 1, 2016 – December 1, 2016
• Extract large datasets from Amazon webpages; • Perform quantitative analysis of product sales trends to recommend pricing decisions; • Analyze customer behavior to identify trends and unmet needs using machine learning alogrithms ; • Develop statistical models to forecast inventory and procurement cycles.
P2P file transfer application (Java)
February 1, 2016 – April 1, 2016
• Developed a peer-to-peer file-sharing program. Each peer runs on a different computer. • After downloading chunks from the server, peers share and receive chunks among each other.
Implementation of Shortest Path Algorithm using Hardware and Software
August 1, 2014 – December 1, 2014
• Implemented hardware architecture for Dijkstra algorithm using Nallatech Platform and compared computing performances with Java implemented programs.
Wavelength Control of Photoinduced Charge Transfer in a π-Conjugated Molecular Photodiode
January 1, 2012 – January 1, 2014
• A series of tetra-thiophene and oligo-phenyleneethynylene (PE) based diblock oligomers were synthesized and probed for wavelength selective excitation for the purpose of creating a long-lived charge transfer state using selective excitation; • The efficiency of charge transfer significantly diminished with increasing PE length due to competition with fluorescence and intersystem crossing; • The diblock oligomers demonstrated potentials in making molecular-scale electronics.
Polymer Based Chromophore-Catalyst Assembly for Solar Energy Generation
January 1, 2011 – January 1, 2014
• A polystyrene-based chromophore-catalyst assembly has been prepared and applied at a metal oxide photoanode. It is the first reported polymer assembly; for artificial photosynthesis applications; • The photophysical, electrochemical properties and energy/electron transfer processes of this polymer assembly were investigated; • The polymer was immobilized onto mesoporous semiconductor substrates (TiO2 or SnO2/TiO2) by “Layer-by-Layer” (LbL) method to build photo anode and DSPEC devices; • Polymer assembly deposited photoanode demonstrated to be capable of organic alcohols and water harvesting and converting lights energy into fuel by oxidizing organic
Building Your Visibility Online as a Remote Leader
June 24, 2026 – Present
Docker for Data Scientists
June 24, 2026 – Present
Speaking Confidently and Effectively
June 24, 2026 – Present
Be the Manager People Won't Leave
June 24, 2026 – Present
Scrum: The Basics
June 24, 2026 – Present
The Data Science of Healthcare, Medicine, and Public Health, with Barton Poulson
June 24, 2026 – Present
Product Management: Building a Product Roadmap
June 24, 2026 – Present
Reid Hoffman and Chris Yeh on Blitzscaling
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression shows a strong drive for leadership and innovation within the AI/Data Science domain. Their diverse project experience, ranging from academic research in chemistry/polymer science to practical applications in finance and healthcare, indicates adaptability and a broad intellectual curiosity. The target role of 'Data Analyst' might be a step down from their recent leadership positions (Director/Senior Director of AI & Advanced Analytics), which could impact cultural fit if the role does not offer sufficient scope for strategic input and advanced analytics. However, their early career as a Data Analyst and a project on 'Data Mining of Amazon Website' show foundational alignment. The breadth of skills and project types suggests a candidate who can thrive in dynamic, data-driven environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, strategic thinking, and cross-functional collaboration skills. They have fostered innovation, managed teams, and streamlined processes, indicating a good operational fit for roles requiring both technical depth and managerial oversight. Certifications in 'Building Your Visibility Online as a Remote Leader', 'Speaking Confidently and Effectively', and 'Be the Manager People Won't Leave' further support strong soft skills and leadership potential.