Virtual AI Lecture Series Explores Practical Applications—Vas Stathias 11/6

About

Hosted by Joseph Johnson and Mitsunori Ogihara, this new webinar series promotes the use of Artificial Intelligence (AI) among University of Miami faculty, staff, and students, and the surrounding community.

Each session explores practical applications of AI in research, business, and everyday life. The content of these lectures is tailored for a general, non-technical audience and concludes with a Question and Answer session. All lectures take place via ZOOM on Fridays from 2:00 to 4:00 PM. An email confirmation containing the ZOOM link will be sent upon completion of registration.

November 6 | Vas Stathias, PhD

TALK TITLE: "Leveraging Data and AI to Accelerate Precision Medicine at the Sylvester Comprehensive Cancer Center"

A S S I S T A N T D I R E C T O R Data Science SYLVESTER COMPREHENSIVE CANCER CENTER MILLER SCHOOL OF MEDICINE

Dr. Vasileios Stathias is leading institution-wide data, AI, and precision medicine initiatives at the Sylvester Comprehensive Cancer Center spanning research, clinical care, and operations. His work focuses on building AI-ready biomedical data platforms, developing clinicogenomic real-world data resources, applying AI and bioinformatics to drug discovery and precision oncology, and leading strategic collaborations across NGS, biopharma, technology, and AI organizations.

Dr. Stathias has contributed to major national precision medicine initiatives, including NIH LINCS, NCI CPTAC, and AACR Project GENIE, with research spanning data platforms, multi-omics, AI, and cancer therapeutics.

Born in Athens, Greece, his early fascination with the study of genetics lead him to apply to the Miller School of Medicine for his graduate studies in Human Genetics. During this time, he incorporated both wet lab and computational work under the tutelage of Dr. Nagi Ayad and co-mentor Dr. Stephan Schürer. The work he did then was integral in developing a glioblastoma synergy assay using LINCS data to identify combination drug treatments to enhance activity and avoid resistance. For his a post-doctoral fellowship he joined the Schürer Lab where he continued this work to develop a platform for predicting synergy combinations in multiple cancer cell models. Vas enjoys being active and is a proud member of the Brickell run club.