Geisel Faculty Candidate Special Seminar

Speaker: Christopher McFarland, Ph.D., Postdoctoral Fellow, Stanford University

January 22, 2020
1 pm - 2 pm
Location
DHMC, Auditorium H (near hospital Main Entrance)
Sponsored by
Geisel School of Medicine
Audience
Public
More information
Biomedical Data Science Department
603-650-1974

Please join us for an NCCC and Biomedical Data Science Bioinformatics and Computational Oncology Faculty Candidate Seminar with

Christopher McFarland, Ph.D., Postdoctoral Fellow, Stanford University on Wednesday, January 22 at 1:00 p.m., Auditorium H, DHMC. 

 

Talk title: “Modeling cancer evolution: Integrating theory with experiment”

Hosted by: Brock Christensen, Ph.D.

 

Light refreshments will be provided on a first-come, first-served basis. 

 

Talk Summary 

Tumor progression is a stochastic, evolutionary processes. Understanding cancer's evolutionary dynamics is critical to deciphering cancer genomes, and to developing robust therapeutic strategies. In this talk, I will address three outstanding questions in the field: why do non-adaptive passenger mutations accumulate in conserved regions of the human genome?; what are the fitness effects of drivers and do their rare occurrence explain why most tumors fail to progress to cancer?; and to what extent does epistasis constrain the ordering in which tumors acquire drivers? I will also discuss my future efforts to model and measure the spatio-temporal dynamics of competing clones within a mouse tumor. The answers to all of these questions are achieved by integrating theoretical modeling, statistical genomics, and in vivo experimentation. In time, I believe that we will develop evolutionary theories to forecast cancer incidence and drug response.  

 

Biography

Dr. McFarland is a postdoctoral fellow at Stanford University working in the labs of Dmitri Petrov (Evolution) and Monte Winslow (Genetics), where he is developing new multiplexed genome-engineering tools to quantitatively study cancer evolution in vivo. As a graduate student in Biophysics at Harvard University, Dr. McFarland worked with Leonid Mirny to understand the impact of deleterious passenger mutations on cancer. Dr. McFarland is particularly interested in integrating approaches to study tumor evolution: testing theoretical models experimentally, applying these theories to patient genomics data, and making experimental techniques more quantitative and genomically comprehensive.   

 

Please also mark your calendars for these upcoming NCCC/BMDS Bioinformatics and Computational Oncology faculty candidate seminars: 

 

Dr. Daniel Hollern - Wed., 1/29: Aud. H @ 11:00am

Postdoctoral Research Fellow, Cancer Genetics and Genomics 

UNC Chapel Hill 


Dr. Alvin Makohon-Moore - Mon., 2/03: Aud. H @ Noon

Postdoctoral Researcher, Quantitative Analyses of Cancer Evolution 

Memorial Sloan Kettering Cancer Center 


Dr. Siming Zhao - Wed., 2/12: Aud. H @ 11:00am

Postdoctoral Scholar, Computational Methods Development in Cancer Genomics 

University of Chicago, Department of Human Genetics 


Dr. Yijun Sun - Mon., 2/17: Aud. H @ Noon

Associate Professor, Department of Microbiology and Immunology 

Jacobs School of Medicine and Biomedical Sciences 

 

Dr. Yury Pritykin - Thurs., 2/27: Borwell 658W @ Noon

Research Associate, Computational and Systems Biology Program 

Memorial Sloan Kettering Cancer Center 

 

 

Location
DHMC, Auditorium H (near hospital Main Entrance)
Sponsored by
Geisel School of Medicine
Audience
Public
More information
Biomedical Data Science Department
603-650-1974