Brandeis Online

Stay competitive, adaptable and well-connected in an ever-changing field

Bioinformaticians have been utilizing machine learning for years. However, the introduction of powerful and easily accessible generative AI tools is a new horizon. Learning how to use these tools to work more effectively and advance science — without compromising sensitive data — is essential for mid-career bioinformaticians.

In this 100% online career seminar, you'll learn from industry experts and network with peers as you:

• Explore real-world case studies of AI and machine learning applications in bioinformatics and biotech
• Examine the impact of AI-driven innovations on the drug development process
• Gain practical guidance on integrating AI tools into computational workflows
• Discuss strategies for staying current with emerging trends in generative AI

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Meet Our Panelists

Meromit Singer, PhD

Session: Blood Based Testing for Cancer Screening and Management

• Director, Bioinformatics at Guardant Health
• PhD in Computer Science, UC Berkeley

John Whitaker, PhD

Session: Harnessing Genetic Variants: Advancing Antidepressant Precision and Skin Cancer Prevention

• Principal, SoCal CompBio
• PhD in Bioinformatics, University of Leeds

OhKyu Yoon, PhD

Session: Analysis of Patient Data to Identify New Potential Diagnostic Genes for Drug Efficacy

• Director, Clinical Bioinformatics & Exploratory Analytics at Gilead Sciences
• PhD in Chemistry, Stanford University

Mark Daly, PhD

Session: Biobanks and the Road Ahead in Human Genetics

• Co-director, Program in Medical and Population Genetics at the Broad Institute
• PhD in Human Genetics

Vasilis Ntranos, PhD

Session: Use of AI for Enhancing Genetic Variant Effect Prediction

• Assistant Professor, UCSF School of Medicine
• PhD in Electrical Engineering; Post-doc in Biological Engineering