September 26-27, 2022
Seattle, WA
September 26-27, 2022
Seattle, WA
Data ingestion and preparation enable downstream learning, ranging from statistical analysis to ML/AI. This session explores available tools and systems used to aggregate, store and search for scientific datasets. Attendees can expect to learn about how to "prime the pump" to accept high-quality, near-real-time data to support a wide array of use cases and desired experimental outcomes.
Session Chair:
Mike Tarselli, Ph.D. (TetraScience)
Tarselli is the Chief Scientific Officer for TetraScience, a Boston-based start-up building the life sciences R&D Data Cloud. He has held scientific and leadership roles at SLAS, Novartis, Millennium, ARIAD and Biomedisyn. Tarselli has received awards and fellowships from IUPAC, Wikipedia, ACS, NSF, and the Burroughs-Wellcome Trust. He actively volunteers for roles that promote scientific education and diversity, including the National Science Foundation, the Pistoia Alliance, the NIH Assay Guidance Manual and the UMass College of Natural Sciences advisory board.
Speakers:
Marcus Caron (Moderna)
Automation of Quantitative CryoTEM Analysis
Caron completed his B.S. in biochemistry from Northeastern University in 2019, where he completed three co-op rotations at Sanofi Genzyme, Synlogic Therapeutics and Moderna before graduating. Since graduating, he has remained at Moderna where he is currently a senior research associate in data science and artificial intelligence.
Berke Buyukkucak, M.S. Biomedical Engineering (Superbio.ai)
Mobilizing Machine Learning Research Community for Life Sciences
Buyukkucak is the CEO and co-founder of Superbio, a company dedicated to building a software platform that enables scientists to use machine learning in biomedical R&D. Before launching Superbio, he obtained his M.S. in biomedical/medical engineering from Brown University in 2019.
Beth Cimini, Ph.D. (Broad Institute)
The Cell Painting Gallery - Resources and Lesson Learned
Cimini is a senior group leader, CZI imaging scientist and the head of the Cimini Lab in the Imaging Platform at the Broad Institute in Cambridge, MA. After completing her undergraduate research in visual neuroscience at Boston University, Cimini obtained a Ph.D. in Biochemistry and Molecular Biology at the University of California San Francisco, where she studied the difference between splicing variants of the telomere master scaffolding protein TIN2. She created and directs the Platform's Postdoctoral Training Program in Bioimage Analysis, and also leads the Broad efforts toward community engagement and driving biological projects for the Center for Open Bioimage Analysis.