Events
An A.D. White Professors-at-Large keynote public event
Ellen Rothenberg (Distinguished Professor of Biology, California Institute of Technology; A.D. White Professor-at-Large at Cornell) will present the lecture “Decoding the genomic program to generate T cells” on Thursday, September 14, at 4pm, in Lecture Hall 5, College of Veterinary Medicine.
A reception will follow in the Atrium.
This event is part of an A.D. White Professors-at-Large (ADW-PAL) visit and is cosponsored by the Cornell Center for Immunology, Dept. of Microbiology and Immunology and the Dept. of Molecular Biology and Genetics. Rothenberg visits the Cornell campus in Ithaca as an ADW-PAL September 11-15. She was elected as an ADW-PAL in 2021. Her appointment runs through 2027.
Changing impacts from fire on climate and biodiversity in a more flammable world.
Hosted by Xiangtao Xu
Why carbon capture and sequestration is better for producing oil than fighting climate change.
Hosted by EEB, Department of Civil & Environmental Engineering and the Cornell Atkinson Center for Sustainability
Join us for a virtual alumni panel for Black students interested in CS, Pre-Med, and Mechanical Engineering on Wednesday, August 30th at 6 pm EST. During the event, you will have the opportunity to learn from Black alumni in the field, get tips on navigating your major, explore diverse career paths, connect with Black mentors through the CBAA app, and hear from campus departments and organizations about the resources available to help you succeed.
Whether you’re a first-year student starting your academic journey or an upperclassman mapping out your career, this panel is for you.
Register at bit.ly/blackinstem.
We hope to see you next week!
GLAM-Evogen 2023 is right around the corner, taking place this Saturday, August 19th. With nearly 100 registered attendees, we are looking forward to a wonderful day of science and fun. The event’s program is now accessible through this link. We’ve assembled an exciting lineup featuring 12 contributed talks, around 15 lightning talks (each lasting 2 minutes with a single slide), and over 40 posters in total. Our keynote lecture will be given by Silu Wang.
Dissertation title: Genomic consequences of population decline and isolation across spatial and temporal scales.
Hosted by John Fitzpatrick and Andrew Clark
Dissertation title: The genetic basis and architecture of local adaptation with gene flow.
Hosted by Nina Therkildsen and Kelly Zamudio
Dr. Zeribe Nwosu, a Senior Postdoctoral Fellow at the University of Michigan, will share his Journey Through Science with us on Thursday, June 22nd at 3:30 PM on Zoom.
He recently visited Cornell last Fall through the FIRST Future Faculty Symposium, and again this Spring, to present his work on “Disrupting Compensatory Metabolism to Improve Cancer Therapy.” To learn more about Dr. Nwosu and his work, please visit his website.
You are encouraged to attend our in-person watch party in Weill 226. To attend this event and for Zoom information, please register here by 6/21.
This event is hosted by the MBG+ Diversity Council, in collaboration with the Weill Institute Diversity Council and the Weill Institute Careers Committee. Please forward any questions to Jawuanna McAllister (jhm364).
Part of the Pathways from Postdoc to Faculty series: In this session we will discuss the differences between chalk talks and seminars, why they are so important, what the interviewers are looking for, what your presentation says about you, and most of all, how to stand out as a candidate!
Dr. Sriram Sankararaman, Assoc Prof, Dept Comp Sci, Dept of Human Genetics, Dept Comp Medicine, UCLA. http://web.cs.ucla.edu/~sriram/
“Understanding the genetic basis of complex traits from Biobank-scale data”
The quest to understand the interplay between evolution, genes and traits has been revolutionized by the collection of rich phenotypic and genetic data across millions of individuals in diverse populations. However, analyses of these Biobank-scale datasets present substantial statistical and computational challenges.
I will describe how we bring together statistical and computational insights to design accurate and highly scalable algorithms for a suite of problems that arise in the analysis of Biobank data: highly
scalable randomized inference algorithms to dissect the genetic architecture of complex traits, deep-learning based phenotype imputation to deal with complex patterns of missingness, and tools to leverage genetic information to obtain robust causal inference from observational data. By applying these methods to about half a million individuals from the UK Biobank, we obtain novel insights how genetic effects are distributed across the genome, the relative contributions of additive, dominance and gene-environment interaction effects to trait variation, and new genes that confer risk for hard-to-measure diseases.