Lucas Vinh Tran

Director of AI/ML, JPMorganChase

About Me

[LinkedIn] [Google Scholar][Github]

Biography: I am currently a Director of AI/ML and Principal Research Scientist at JPMorganChase (JPMC). I am a hands-on senior technical executive; leading various tent-pole projects towards commerce, shopping, ads & marketing, digital, personalization and broader AI/ML initiatives across JPMorganChase products, turning Chase into a leading personalization platform. I have a track record of leading and building large-scale distributed AI/ML systems, especially in the context of personalization, ranking, and recommender systems (on prem and in the cloud).

Previously, I was at Apple Services Engineering / Apple Media Products (AMP) AI/ML, building large-scale personalization systems for App Store, Music, Video (TV App), Podcasts and Books. My team also powered content understanding and features discovery, as well as on-device and federated machine learning. 

Before that, I obtained my Ph.D. in Computer Science from Nanyang Technological University (NTU), under A*STAR Computing & Information Science Scholarship (ACIS) and A*STAR Graduate Scholarship (AGS), supervised by Dr. Gao Cong (NTU) and Dr. Xiaoli Li (A*STAR), and also Dr. See-Kiong Ng (NUS) earlier. At the same time, I was also affiliated with the Machine Intellection Department of Institution for Infocomm Research (I2R), A*STAR. Prior to that, my B.Sc. background was in Mathematical Sciences from the same university. 

Academic & Industrial Research: My main research interests include (but not limited to): (applied) machine learning, (geometric) deep learning, differentiable generative models and high-dimensional statistics. In general, I am broadly interested in representation learning (Euclidean and non-Euclidean representation); on-device, privacy-preserving and federated machine learning; AI governance, risk and safety; Responsible and Explainable AI (XAI); MLOps/AIOps/ModelOps and ML infrastructure/framework; especially in the applications of personalization and recommender systems (personalized and group recommendation).

Work Experience

JPMorganChase 

Consumer & Community Banking (CCB) -- Personalization & Insights (P&I)

Director of AI/ML / Principal Research Scientist. London, United Kingdom. Nov. 2022 - Present

Apple 

Apple Services Engineering -- Personalization & Recommendation

Senior / Staff Applied Research Scientist. Singapore, Singapore. May. 2020 - Nov. 2022

Agency for Science, Technology and Research (A*STAR)

Institute for Infocomm Research (I2R) -- Personalized and Group Recommendation

Machine Learning Research Scientist. Singapore, Singapore. Aug. 2016 - May. 2020

Meta

APAC Facebook Global Gaming -- Dashboard Personalization

Gaming Data Scientist. Singapore, Singapore. May. 2015 - Aug. 2015

Education

Nanyang Technological University

School of Computer Science and Engineering (SCSE) -- Data Management and Analytics Lab (DMAL) / Data Management @ Nanyang Tech (DANTE) Group

Ph.D. in Computer Science. Singapore, Singapore. Aug. 2016 - May. 2020

Nanyang Technological University

School of Physical and Mathematical Sciences (SPMS) -- Division of Mathematical Sciences

B.Sc. in Mathematical Sciences. Singapore, Singapore. Aug. 2012 - May. 2016

Executive Leadership

Nanyang Technological University

Nanyang Business School (NBS) -- Nanyang Executive Education

Executive Certificate for Engineering Leadership. Singapore, Singapore. Apr. 2022 - Jun. 2022

Publications 

* : equal contribution

Peer-Reviewed Conferences:

Internal Publications, Manuscripts and Others:

Honours & Awards

Invited Speaker

Talks:

Conferences:

Consultancy

[all names redacted]

Professional Services

Organizer / Program Committee (PC) / Invited Reviewer:

External Reviewer (Before 2019):

Miscellaneous

Contact