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What could be more fun than knowing there's a treasure hidden somewhere in a dataset and being let loose to go and find it? Over the years, I've evolved my way from protein engineering to deep learning, working at the interface of both to advance new and exciting commercial opportunities in therapeutics. I've spent my free time in my younger years playing with machine learning methods applied to various fun projects like game playing and stock prediction, but recently I've been working with LLMs for genomic tasks and AI for protein design. I'm a tech nerd at heart, thrive on being helpful, and my motivation is to work towards my goal of solving all diseases and age related inconveniences.
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Lead Ai ScientistForm Bio Sep 2022 - Present -
Ai Research Scientist Iii1910 Genetics Nov 2021 - Sep 2022Boston, Ma, UsLead developer for the protein therapeutics design pipeline ROSALYND. -
Computational Biologist I-IiAdaptive Biotechnologies Corp. Nov 2018 - Dec 2021Seattle, Wa, UsPipeline development for various projects related to structural modeling of T-cell receptors and antibodies, developability assessment of antibody therapeutics, variant calling, and exploratory machine learning for MIRA data analysis and protein sequence/structure representations. -
Postdoctoral ResearcherJust Biotherapeutics Nov 2015 - Oct 2018Seattle, Wa, UsDesign and test computational algorithms to increase antibody thermostability with the ultimate goal of bringing down the cost of antibody therapeutics. It involved computational modeling, algorithm development, yeast surface display, molecular biology, and machine learning. -
Phd StudentUniversity Of Washington Sep 2008 - Oct 2015Seattle, Wa, UsDeveloped computational methods for the design of small molecule binding proteins using the Rosetta software platform. I conducted experimental validation and optimization of those designs through cell sorting, computationally guided library construction and screening, deep mutational analysis and high throughput sequencing. The goal of this research was to develop biosensors for small molecule diagnostics.
Austin D. Skills
Austin D. Education Details
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University Of WashingtonBioengineering And Biomedical Engineering -
University Of California, BerkeleyBioengineering Minor -
University Of California, BerkeleyChemical Biology
Frequently Asked Questions about Austin D.
What company does Austin D. work for?
Austin D. works for Form Bio
What is Austin D.'s role at the current company?
Austin D.'s current role is Lead AI Scientist @ Form Bio.
What is Austin D.'s email address?
Austin D.'s email address is ad****@****ech.com
What is Austin D.'s direct phone number?
Austin D.'s direct phone number is +140889*****
What schools did Austin D. attend?
Austin D. attended University Of Washington, University Of California, Berkeley, University Of California, Berkeley.
What are some of Austin D.'s interests?
Austin D. has interest in Artificial Intelligence, Investing, Machine Learning, Financial Modelling, Science And Technology, Business, Protein Design, Analysis Of Big Data, Synthetic Biology, Health.
What skills is Austin D. known for?
Austin D. has skills like R, Perl, Computational Protein Design, Machine Learning, Financial Modelling, Python, C++, Unix, Java, C#, Matlab, Molecular Biology.
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