Recent Workshops in Biostatistics: Fall 2022
DATE | INVESTIGATOR | PRESENTATION TITLE |
9/29
|
Ajit Johnson Nirmal |
The Spatial Landscape of Progression and Immunoediting in Primary Melanoma at Single-Cell Resolution |
10/6 |
Roxana Daneshjou |
Precision health for all: developing inclusive datasets and algorithms |
10/13
|
Lynn Petukhova | Leveraging Information in the Human Genome to Improve Skin Health and to Advance the Practice of Dermatology |
10/20 |
DBDS SEMINAR Lee Hood |
Data-Driven Science of Wellness and Prevention: A 2nd Human Genome Project |
10/27
|
Adrian Buganza Tepole | Data-driven skin biophysics Abstract and suggested readings PDF Flier |
11/3
|
David Van Valen | Everything as Code |
11/10
|
Liana Lareau | Revealing patterns of alternative splicing in single cells |
11/17 |
Lorin Crawford |
Machine Learning for Human Genetics: A Multi-Scale View on Complex Traits and Disease |
12/1 |
Marina Sirota |
Leveraging Molecular and Clinical Data to Improve Women’s Health in the Era of Precision Medicine |
12/8 | Lior Pachter |
Fireside chat with Lior Pachter, moderated by Barbara Engelhardt |
Recent Workshops in Biostatistics: Spring 2022
DATE | INVESTIGATOR | PRESENTATION TITLE |
3/31
|
Matthew Jones, Bioinformatics PhD candidate at UC San Francisco and UC Berkeley, advised by Jonathan Weissman and Nir Yosef |
Algorithmic tools for single-cell lineage tracing to illuminate the phylodynamics, plasticity, and transcriptional paths of tumor evolution |
4/7 Virtual Access Only |
Dianbo Liu, PhD, Postdoc fellow and leader of humanitarian AI team, Prof. Yoshua Bengio Group, Mila -Quebec AI institute, Canada, and Research affiliate, The Broad Institute of MIT and Harvard, USA
|
Improve accessibility and fairness in healthcare using generalizable artificial intelligence |
4/14
|
Jennifer Listgarten, PhD, Professor, UC Berkeley Department of Electrical Engineering and Computer Science and Center for Computational Biology | Machine Learning-Based Protein Engineering Abstract (PDF) |
4/21
|
DBDS Seminar Series Collin M. Stultz, MD, PhD, Nina T. and Robert H. Rubin Professor in Medical Engineering and Science, Professor of Electrical Engineering and Computer Sciecne, Harvard-MIT, Division of Health Science and Technology, MIT, Division of Cardiovascular Medicine, Massachusetts General Hospital |
Artificial Intelligence in Clinical Medicine: Challenges, Obstables, and Opportunities |
4/28
|
Serena Wang, PhD student in Computer Science, UC Berkeley, advised by Rediet Abebe and Michael I. Jordan | Out of Scope, Out of Mind: Expanding Frontiers for Fair ML in Social Decision Making |
5/5
|
Aaron Newman, PhD, Assistant Professor of Biomedical Data Science, Stanford | Decoding stem cell hierarchies and cellular ecosystems in cancer |
5/12
|
James Zou, PhD, Assitant Professor of Biomedical Data Science and, by courtesy, of Comupter Science and Electrical Engineering, Stanford | AI for clinical trials and clinical trials for AI |
5/19
|
Steven E. Brenner, PhD, Professor at the Department of Plant and Microbial Biology, University of California Berkeley | Prediction potential and pitfalls in pervasive population personal genomics: Interpreting newborn genomes with Notes on privacy timebombs in functional genomics data. |
5/26
|
Elizabeth Stuart, PhD, Associate Dean for Education, and Professor of Mental Health, of Biostatistics, and of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health | Study designs to estimate policy effects using large-scale data: Applications to COVID-19 and opioid policies. |
Winter 2022
Abstracts, when available, are included in the drop-down
Autumn 2021
Abstracts, when available, are included in the drop-down
Spring 2021
Abstracts, when available, are included in the drop-down
Winter 2021
Abstracts, when available, are included in the drop-down
Fall 2020
Abstracts, when available, are included in the drop-down
Spring 2020
Abstracts, when available, are included in the drop-down
Winter 2020
Abstracts, when available, are included in the drop-down
Fall 2019
Abstracts, when available, are included in the drop-down
Spring 2019
Abstracts, when available, are included in the drop-down
Winter 2019
Abstracts, when available, are included in the drop-down