Emerging Genomic Scientist Symposium
Hosted by the Department of Human Genetics Committee on Inclusive Excellence
On April 17, 2025 the UCLA Department of Human Genetics will host its second annual Emerging Genomic Scientist Symposium. Senior predoctoral and junior postdoctoral applicants have been selected from around the country to present cutting edge research in genetics and genomics. In addition to presenting their research at the symposium, the speakers will have the opportunity to form short or long-term mentorship and collaboration relationships with UCLA researchers.
Click here to register
Thursday, April 17, 2025
8:30am - 1:30pm
UCLA Luskin Conference Center, Laureate Room
Speakers:
- Michelle M. Li | Harvard University
- Contextual Learning on Graphs for Precision Medicine
- JP Flores | UNC Chapel Hill
- Hyperosmotic stress induces complete rewiring of chromatin interactions
- Jayati Sharma | Johns Hopkins University
- Contextualizing Disease Risk: Genetic and Environmental Contributors to Cardiometabolic Traits
- Pragati Kore | Baylor College of Medicine
- Improved Allele Frequencies in gnomAD through Local Ancestry Inference
- Bryan Ramirez-Corona | University of Washington
- Duckweed, a Multiplexable Model to Plant Response
Agenda
8:30am-9:30am: Registration and light breakfast
9:30am-9:35am: Welcome
9:35am-10:00am: Michelle M. Li
10:00am-10:25am: JP Flores
10:25am-10:40am: Break
10:40am-11:05am: Jayati Sharma
11:05am-11:30am: Pragati Kore
11:30am-11:55am: Bryan Ramirez-Corona
12:00pm-1:30pm: Lunch at Plateia provided for first 50 who register
For questions contact:
Jeanette Papp jcpapp@ucla.edu
Michael Wells mfwells@mednet.ucla.edu
Meet the 2025 Fellows!
JP Flores
UNC Chapel Hill
Hyperosmotic stress induces complete rewiring of chromatin interactions
Bryan Ramirez-Corona
University of Washington
Duckweed, a Multiplexable Model to Plant Response
Pragati Kore
Baylor College of Medicine
Improved Allele Frequencies in gnomAD through Local Ancestry Inference
Jayati Sharma
Johns Hopkins University
Contextualizing Disease Risk: Genetic and Environmental Contributors to Cardiometabolic
Michelle Li
Harvard University
Contextual Learning on Graphs for Precision Medicine
Past Events:
Meet the 2024 Fellows!
PANX1 activity regulates fetal architecture across cortical development
Norma Hylton
is an MD-PhD student in the Harvard/MIT MD-PhD Program where she is a third-year PhD candidate in Christopher Walsh’s lab at Boston Children’s Hospital. Her research is centered on characterizing mutations in ion channel genes underlying brain malformations. She is broadly interested in using neurogenetics to investigate early brain development and neurodevelopmental disorders.
Genetic architecture, environmental influence: understanding autoimmune disorders and cardiometabolic disorders of pregnancy
Jasmine Mack
is a PhD candidate, and an American Society of Human Genetics Scholar, training between Professor Gordon Smith’s research group at the University of Cambridge Department of Obstetrics and Gynaecology, and in the NIEHS Biostatistics and Computational Biology branch in Dr. Alison Motsinger-Reif’s research group. Jasmine’s research investigates genetic and environmental factors, broadly multi-omics, related to longitudinal measurements of placental proteins, adverse pregnancy outcomes, and autoimmune diseases, and how these factors may differ across genetic similarity groups. She is also interested in identifying efficient statistical methods for studying multi-ancestral and admixed populations. As an early-career researcher, Jasmine advocates for equitable representation of historically excluded people as researchers, as well as participants in research studies focused on women’s health. Jasmine is a recipient of the Office of Women’s Health Research Autoimmune Disease Fellowship Award, and a recipient of the Young Investigator’s Award from the International Society for the Study of Hypertension in Pregnancy.
The Upstream Sequence Transcription Complex Dictates Nucleosome Environment at piRNA Genes in the C. elegans Germ Line
Nancy Paniagua
(she/her) is a 6th year PhD student in Valerie Reinke's lab in the Genetics Department at Yale University. Her thesis work focused on understanding how local chromatin and transcriptional states coordinates germline expression of over 10,000 piRNA genes from two distinct megabase size clusters in C. elegans. Utilizing genomic approaches, she uncovered a mechanism establishing orderly nucleosome positioning across piRNA gene clusters to facilitate engagement by transcription machinery. As an incoming Postdoctoral Scholar in the Laboratory of Aaron Straight at Stanford, Nancy is interested in understanding how genes from heterochromatic domains are regulated by chromatin associated RNAs. As a graduate student, Nancy developed the First Generation Low Income Mentorship Program to guide freshman and sophomore undergraduate students on navigating the "hidden curriculum" at Yale. Additionally, she played a key role as a founding member of the SACNAS chapter at Yale, aiding in increasing the retention and recruitment of disadvantaged and underrepresented students.
Complex trait architecture across populations: opportunities and considerations
Roshni Patel
(she/her) is a Genetics PhD student at Stanford University. Advised by Jonathan Pritchard, her dissertation work has bridged statistical and population genetics to study the genetic architecture of human complex traits. Her research interests also include the ethical and social implications of human genetics; Roshni co-developed and taught a graduate-level course on genetics, ethics, and society during her PhD. She is deeply committed to improving equity in academic science through empathy-centered approaches to structural change. Prior to Stanford, Roshni grew up in a small suburb of Dallas, Texas and attended the University of California Berkeley for her Bachelor's degree.
Genomic Al: Benchmarking Approaches and Fairness Risks
eyes robson
(they/she) is a PhD Candidate at UC Berkeley researching models, benchmarks, and bioethics for genomic AI. They develop scalable algorithms for genome comprehension and sequence-to-function modeling, including the development of the large-scale genomic AI benchmark GUANinE. eyes's trans and neurodivergent lived experience informs every aspect of their research, from rethinking historically accepted definitions of informed consent to conscientiously designing benchmarks to avoid biases from socioeconomic confounders. Before Berkeley, eyes completed an MS in Statistics & Operations Research at UNC Chapel Hill.