Jiahao is a Manager of Data Science and Machine Learning Research Scientist in Card Machine Learning, specializing in emerging technologies, university partnerships, and research in algorithmic fairness and explainability. Prior to joining Capital One in 2017, Jiahao was a Research Scientist at MIT CSAIL who started and led the Julia Lab, focusing on applications of the Julia programming language to various scientific data science problems and challenges in parallel computing and scientific computing. Jiahao holds a PhD in chemical physics, a MS in applied mathematics, and a BS in chemistry, all from UIUC. He was formerly a postdoctoral associate at MIT, a visiting scholar at Ritsumeikan University in Japan, and a member of technical staff at DSO National Laboratories in Singapore.
PhD in Chemical Physics with Computational Science and Engineering Option, 2009
MS in Applied Mathematics, 2008
BS in Chemistry, 2002
ELI5: I lead a team studying how we can use machine learning fairly, to improve customer service and experience, and change banking for good.
Technical Lead for Fair and Explainable AI Research Group within Card Machine Learning. Compliance analytics for fair lending, natural language processing for customer service analytics, customer segmentation.
ELI5: I started and ran a research lab to prove that the Julia programming language was useful for big data and data science work.
Started and managed the Julia Lab together with Professor Alan Edelman, providing the main academic funding responsible for the development, growth and adoption of the Julia programming language. Applied Julia to problems in high performance computing, computational genomics, and statistical computing. The lab comprised 16 students and postdocs at its peak.
ELI5: I coded up a model for studying how drug molecules dissolve in water, and shipped it in commercial software.
Productionized and shipped the 1D- and 3D-RISM (Reduced Interaction Site Model) codes that are now available in Accelrys Discovery Studio.
ELI5: I made new computer models of how molecules trap light and turn them into electricity. I used these models to study new materials used for OLEDs and solar cells.
Computational chemistry research on organic semiconductors, using new techniques of random matrix theory blended with new molecular models for describing atomic charge excitations and transfer.
ELI5: I made new materials that would distort light and/or blow up, and shoot them with lasers to see how they would react.
Synthesized and characterized novel materials for nonlinear optics and energetic materials (explosives), with organic and inorganic chemical synthesis techniques and nonlinear laser spectroscopy.
My publicly available slides and posters are on Slideshare.