The goal of this talk is to provide an accessible overview of machine learning (ML) & deep learning (DL). A historical perspective is included as well as review of definitions and nomenclature. Standard methods utilized in ML/DL are briefly introduced, with a focus on conceptual understanding. Uses for these methods are provided with emphasis on utilization in imaging & genomics for drug discovery & development.
Level of Instruction: Basic
Chief Technology Officer & Founding Partner, Invicro
Dr. Hesterman is Invicro’s Chief Technology Officer and a founding member of Invicro. He has over 15 years of experience in instrumentation development, image processing, and quantification. As CTO, Dr. Hesterman manages a large technical team of engineers, scientists, and mathematicians, comprising Invicro’s software and analytics teams. He has overseen the development of Invicro’s image processing platform supporting translational and clinical analysis in PET, PET, MR, CT, and histology across multiple disease areas. Dr. Hesterman also oversees Invicro’s software platform, including the iPACS data management and VivoQuant image processing applications.
Dr. Hesterman holds a Ph.D. from the University of Arizona’s College of Optical Sciences, having completed a research project in small-animal SPECT at the Center for Gamma Ray Imaging. Prior to joining Invicro, Dr. Hesterman managed Bioscan’s NanoSPECT/CT project for several years while living in Budapest, Hungary, and served as a visiting scientist in the Frangioni Lab at Beth Israel Deaconess Medical Center, a Harvard Medical School Teaching Hospital.
Genomic Science Liaison, Ambry Genetics
Shabnam Asgari joined Ambry in 2019 as the Oncology Genomic Science Liaison for the New York Metro Area territory. She previously worked as a clinical genetic counselor at the High-Risk Cancer Genetics Program at the Perlmutter Cancer Center in New York. In her current role, she serves as a clinical liaison for the field team to educate health care providers and key opinion leaders on genetic testing and genomic medicine. She is also a student supervisor for Ambry’s Genomic Science Liaison industry rotation. Shabnam received her Bachelors of Science degree in Biology with a minor in psychology from the University of Colorado, Denver. She earned her Masters of Science degree in Genetic Counseling from the Joan H. Marks Graduate Program in Human Genetics at Sarah Lawrence College and is certified by the American Board of Genetic Counseling.
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