Sarah Alamdari

I am currently a data scientist at Microsoft Research where I apply deep learning methods towards generative protein design.

I completed my PhD in Chemical Engineering at University of Washington under the supervision of Jim Pfaendtner as an NSF GRFP Fellow. During my PhD I applied and developed computational methods to probe interfacial phenomena that govern biological processes at the microscale, informing their behavior at the macroscale. Previously, I was a FURI undergraduate researcher synthesizing 2D materials in the Tongay Research Group and graduated Magna Cum Laude in Chemical Engineering at Arizona State University.

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My broader research interests lie at the intersection of biology, deep learning, and molecular simulation. I am motivated to gain a deeper understanding of the fundamental driving forces in biological systems, with the goal of expediting rational and efficient design of new bioinspired technologies.

Publications

Publications while at MSR

Publications while at UW

Publication while at ASU