
I am currently a principal researcher in BioML at Microsoft Research New England, where I develop deep learning methods to design and understand proteins. Previously, I was a machine learning scientist at Generate Biomedicines, where I used machine learning to optimize proteins. From 2014-2018, I was a PhD student in Chemical Engineering at Caltech. I worked in Frances Arnold’s lab, where I helped pioneer the use of machine learning for protein engineering.
Before moving to California, I completed my undergraduate degree at The Ohio State University, where I studied chemical engineering with a minor in piano performance. Between Ohio State and graduate school, I taught math and physics for three years at a high school in Inglewood, California through Teach for America. In those three years, I transformed from a struggling first-year teacher into an effective instructor and robotics coach with the help of the amazing staff at Animo Inglewood Charter High School and Green Dot Public Schools. In June 2017, I had the honor of watching my last class of freshmen graduate from high school, and I’m excited to see what they do with their futures.
Outside of work, I enjoy board games, ultimate, and music. Most of all, however, I enjoy spending time with my wonderful wife and three sons.
Details about my research are here. My CV can be found here.
Please email me at kvkyang at gmail dot com if you are interested in collaborating or a research internship.
Posts
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Books of 2020
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Two approaches to faster attention
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Moving to Microsoft Research
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Masked batchnorm in PyTorch
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Books of 2019
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NeurIPS workshops and reflections
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NeurIPS Day 3
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NeurIPS Day 2
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NeurIPS Day 1
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Transferable skills from teaching
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My coding setup
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Paying back knowledge debt on reproducing kernel Hilbert spaces
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Thoughts on interviewing
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Distributed data parallel training in Pytorch
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Getting started in machine learning
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Responding to 'That's not biology/chemistry!
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Reflections on AIStats2019
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Learning the language of proteins
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