Jeffrey Chan
About Jeffrey Chan
Jeffrey Chan is a Senior ML Research Scientist and Machine Learning Research Team Lead at Dyno Therapeutics, with extensive experience in machine learning and biological sequence applications.
Title
Jeffrey Chan holds the title of Senior ML Research Scientist and is the Machine Learning Research Team Lead at Dyno Therapeutics. He has held various roles in the same organization, progressing from ML Research Scientist I to ML Research Scientist II before attaining his current position.
Education and Expertise
Jeffrey Chan earned his Doctor of Philosophy (PhD) in Computer Science from the University of California, Berkeley in 2021. Prior to that, he completed a Master of Engineering (M.Eng.) in Computer Science from the Massachusetts Institute of Technology (MIT) in 2015. He also holds a Bachelor of Science (B.S.) in Mathematics and Computer Science from MIT, achieved in 2014. His academic background provides a solid foundation for his expertise in machine learning and probabilistic methods, particularly as they pertain to biological sequence applications.
Career at Dyno Therapeutics
Jeffrey Chan began his tenure at Dyno Therapeutics as an ML Consultant from 2020 to 2021. He then progressed through roles as ML Research Scientist I and II, before becoming a Senior ML Research Scientist and Machine Learning Research Team Lead. At Dyno Therapeutics, he has developed machine learning methods aimed at improving AAV capsids, contributing significantly to the company’s research initiatives.
Experience at Leading Tech Companies
Jeffrey Chan has acquired valuable industry experience through internships at several leading tech companies. In 2020, he worked as a Research Intern at Google Accelerated Sciences in Mountain View, California, and as a Research Scientist Intern on the Health+AI Team at Apple in Seattle, Washington. Earlier, he interned as a Research Scientist at Uber AI Labs in San Francisco Bay Area in 2019 and as a Predictive Modeling Intern at GradientAI in Cambridge, MA in 2014.
Research and Internships
Jeffrey Chan's research journey began early with roles at several prestigious institutions. He served as an Undergraduate Researcher at MIT in 2011, a Researcher at both the University of Oxford and UC Berkeley in 2012 and 2013 respectively, as well as a Statistical Consultant at The University of Texas Health Science Center at Houston (UTHealth). His early roles helped shape his focus and expertise in machine learning and computational methods.