September 26-27, 2022
Seattle, WA
September 26-27, 2022
Seattle, WA
The first computer neural network was created in the 1950's, but a lot has happened since then. This session will focus on machine learning basics and the latest developments in machine learning and AI techniques.
Advanced topics discussed may include:
Session Chair:
Ian Kerman, M.S. Biology, M.S. Computer Science (LabVoice)
Kerman serves as the director of customer success at LabVoice, a company that provides a voice assistant designed specifically for laboratory use. He has over 10 years of experience ranging from pipetting in an academic biology lab to developing code in an enterprise software company. Kerman obtained his M.S. in biology from the University of California San Diego, followed by his M.S. in computer science from the Georgia Institute of Technology.
Speakers:
Naim Matasci, Ph.D. (The Ellison Insitute)
An Interactive 5D Image Data Management and Analysis System to Support AI Applications
Matasci is the director of bioinformatics and computational biology at the Ellison Institute. In his role, he supports the Institute's researchers by providing analytical guidance and expertise across the entirety of the project life cycle. Dr. Matasci earned his M.S.c in molecular biology from the University of Zurich, Switzerland. Later, Dr. Matasci joined the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, to study the evolution of human protein expression for his Ph.D.
Kevin Cassidy, Ph.D. (Biovia Biosciences)
Driving Efficiencies with AI and Machine Learning in R&D Labs
Cassidy is an application scientist at BIOVIA, a science-based company that provides companies with solutions for innovation. Cassidy was a member of the Berman and Durrant labs at the University of Pittsburgh where he obtain his Ph.D. in 2021. His dissertation focused on combining the advantages of both in silico and in vitro experiments to study the RNA binding protein LARP1.
Ilya Goldberg, Ph.D. (ViQi Inc)
AutoHCS: Automated AI-based Scoring of Dose-response High-content Screens
Goldberg has over 30 years of experience leading infrastructure development projects for scientific imaging, image-based assays for the life sciences, and image-based diagnostics for healthcare. He has been a pioneer in the development of bio-image informatics and ML with a depth of experience spanning over 20 years. Prior to joining ViQi Inc as the chief science officer, Goldberg was the co-founder and CTO of Mindshare Medical, where he led a product development team for AI software used for assessing lung cancer risk in nodules found in CT scans.