AWM Events for the Week of 3/23
We’re excited to invite everyone to AWM’s events on week of 3/23:
On Monday, March 23rd, we will have our third general body meeting (GBM #3) at 4:00 P.M. in Little Hall 225. This event will be a summer and fall registration social. This is a great opportunity to ask for advice from other mathematics and statistics students, get course recommendations, and plan out your summer or fall schedule. Also, shirts will be available for purchase at the GBM. Cash is preferred if you can. Hope to see you there!
On Wednesday, March 25th, we will host our second faculty talk of the semester at 4:00 P.M. in Little Hall 225. Dr. Kiley Graim from the Department of Computer and Information Science and Engineering will give a talk titled "Disentangling population and disease signals with equitable genomic AI" — the abstract and flyer are attached below. Everyone is welcome, and we hope to see you there!
Abstract: Rapid advancements in genomic sequencing technologies have revolutionized the study and treatment of human diseases. Limitations on the genetic diversity of patients have, unfortunately, limited discoveries from omics data, skewing results by demographic factors in sampling unrelated to disease. Human populations have undergone selection for variants beneficial to survival in their environment, resulting in genetic variants unique to specific ancestral populations. While these variants can impact disease occurrence and treatment outcome, genetic ancestry is often unaccounted for disease modeling. As a result, models frequently do not generalize well to the general population. The primary proposed solution to this problem is more diverse sequencing of patients. However, these efforts will take years of work and are unfeasible for many studies. Equitable AI approaches can bridge the gap. I will discuss ways to mitigate data bias by utilizing readily available population genomics databases and how my lab’s recently published method, PhyloFrame, illustrates these techniques. By using healthy human genetic variation to contextualize disease variation, PhyloFrame improves outcomes for all ancestral populations, even those well-represented in the data.
I would greatly appreciate it if you could notify your students about this great opportunity. If anyone would like to know more about the club, feel free to look at our website at https://awm.math.ufl.edu, contact our AWM Vice President, Jada Sitchler (sitchlerj@ufl.edu), or our faculty sponsors, Dr. Gamage (cgamage@ufl.edu) and Professor Demas (demasc@ufl.edu).
Best,
Evelyn
Chen
Secretary,
The Association for Women in Mathematics
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