Educational Webinar Series

In this free webinar series FAES faculty expand on topics they teach in their FAES courses.

Upcoming Lecture

Fueling Hope: Unraveling Fatty Acid Metabolism for Cancer Therapy
March 14, 2024 from 12 to 12:30PM ET


Dr. David Wisniewski  (IMMU 101, IMMU 418, IMMU 419)

Cancers produce and consume energy differently from healthy cells, relying on their own fatty acid production to grow and divide without the need of fats from the rest of the body.  This presents as an intriguing option for therapeutic intervention, which can target these metabolic alterations, and leave healthy cells unharmed. Join us for a discussion on why cancer cells would benefit from producing their own fatty acids, how this can contribute to their malignancy, and cutting-edge therapies currently undergoing clinical trials which aim to perturb these pathways.

Dr. David Wisniewski is currently in his fifth year as a post-doctoral fellow in the Women’s Malignancy branch at the National Cancer Institute. He investigates novel ways to inhibit receptor tyrosine kinase signaling as a cancer therapy. He earned his Ph.D. in Molecular Medicine from University of Maryland, Baltimore. As a faculty member with FAES since 2020, Dr. Wisniewski has taught several cancer biology courses and earned a microcredential in best teaching practices through FAES’s professional development programs.



Past Webinars


Getting Started with Data Science to Advance your Biomedical Research
February 15, 2024 from 12 to 12:30PM ET


Yuan-Chiao Lu (BIOF 475, MATH 215, MATH 216, STAT 323)

Kiersten Campbell (BIOF 475)

Join FAES for a dynamic and inspiring celebration of data science during International Love Data Week (Feb 12-16, 2024). Learn about the crucial role of data science and its expanding influence in the research arena. This 30-minute webinar will delve into the exciting world of data science in biomedical research through example projects that are easily accessible to learners from any computational background. FAES bioinformatics faculty members, Dr. Yuan-Chiao Lu and Kiersten Campbell, will demonstrate the transformative impact of data science skills in biomedical research and provide essential resources to begin your data science adventure.

Dr. Yuan-Chiao Lu is a distinguished scientist in the academic field of injury biomechanics, computer-aided design, medical image processing, and data science and faculty at FAES where he teaches BIOF 475 I Introduction to Data Science, MATH 215 I Introduction to Linear Algebra With Applications in Statistics, Part 1, MATH 216 I Introduction to Linear Algebra With Applications in Statistics, Part 2, and STAT 323 I Epidemiology: A Practical Approach to Research Methods. He earned his Ph.D. in Biomedical Engineering and Mechanics and has expertise in applied mathematics, statistics, biomechanics, and data science. 

Kiersten Campbell is a graduate student in the Computer Science & Informatics Ph.D. program at Emory University and faculty at FAES where she teaches BIOF 475 I Introduction to Data Science. Her research interests center around developing new analysis methods and software tools for next-generation sequencing data to empower biomedical discoveries. 

Webinar Recording

Artificial Intelligence in the Biomedical Sciences
January 18, 2024 from 12 to 12:30PM ET


Dr. Brian Ondov (BIOF 509BIOF 510)

Artificial Intelligence (AI) is becoming increasingly ubiquitous in biomedical research, enabled by large datasets, new algorithms, and hardware improvements. In this 30-minute talk and Q and A session, Dr. Brian Ondov will introduce the basic principles of AI and describe how its various forms can help researchers in different ways, including image classification, sequence-based prediction, generative models, and language understanding. 

Dr. Ondov is a postdoctoral fellow at the National Library of Medicine, where he researches AI for consumer health communication, and faculty at FAES, where he teaches Applied Machine Learning (BIOF 509) and Advanced Applications of Artificial Intelligence (BIOF 510).

Webinar Recording


Previous Educational Webinar Series 

2023 Educational Webinar Series

2022 and 2021 Educational Webinar Series


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