Hi, I am 桢钦! (Zhenqin/Michael)

I am currently a research scientist at Enable Medicine, Apps & Algorithm. I study and develop novel computational tools to understand and interpret spatial proteomics.

I obtained my Ph.D. at Stanford University, advised by Prof. James Zou and Dr. Vijay Pande, during which I worked on deep learning/machine learning applications in various fields of computational biology (Thesis). Before that, I was at Peking University, where I completed my B.Sc. in Chemistry, advised by Prof. Xinsheng Zhao.

My general research interests focus on deep learning and machine learning applications in biology and chemistry. I am especially interested in leveraging spatial omics measurements to answer the following questions:

• How are molecules differentially localized in cells?

• How are diverse cells spatially organized in both normal and dysfunctional tissues?

• How do specific spatial structures correlate with disease states and prognosis?

When not coding or sleeping, you will most likely find me on a badminton court - jumping around and catching my breath. I have also been singing in the bass section of Sing++ (an acapella at Stanford, follow us!) for 6 years. Oh, and just to clarify, even though I majored in chemistry for over a decade, don't expect to see me in any wet labs. I practice my chemistry lab skills in my kitchen, dealing with batter and dough!