Sarah Alamdari
Senior Applied Scientist at Microsoft
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolSarah Alamdari is a Senior Applied Scientist at Microsoft Research with nine years of experience applying generative deep learning to protein design and molecular simulation problems. She holds a PhD in Chemical Engineering (Data Science) from the University of Washington, where her NSF-funded research combined molecular dynamics, enhanced sampling, and machine learning to uncover thermodynamic drivers in biological and soft-matter systems. At Microsoft she translates these computational and ML methods into practical bioinformatics solutions on the BioML team, progressing from Data Scientist to senior scientist roles. Based in Cambridge, MA, she brings a rare blend of chemical engineering rigor and data-science fluency, and is outspoken about improving equitable access and mentorship in computational research—an investment she pairs with hands-on training and outreach. Her GitHub persona, “chemical engineer gone rogue,” hints at a creative, interdisciplinary approach that bridges academia and industry.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering: Data Science Option, Doctor of Philosophy - PhD Chemical Engineering: Data Science Option at University of WashingtonBachelor of Engineering (B.E.) Chemical Engineering, Bachelor of Engineering (B.E.) Chemical Engineering at Ira A. Fulton Schools of Engineering at Arizona State University
English, Spanish
Github Skills (11)
diffusion-models10
generative-model10
protein-sequences10
molecular-simulation6
python5
quantitative5
substrate5
capacity4
deep-learning3
minecraft1
javascript1
Programming languages (4)
Github contributions (5)
tacohen125/chachies
Feb 2018 - May 2018
Contributions:201 commits, 1 PR, 164 pushes in 3 months
microsoft/evodiff
Sep 2023 - Jan 2026
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Contributions:1 release, 8 PRs, 16 pushes in 2 years 4 months
diffusion-modelsdiscrete-diffusiongenerative-modelmultiple-sequence-alignmentprotein-sequences
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