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Mice Against Ticks: Engineering white-footed mice to prevent Lyme disease
Speaker:
Kevin Esvelt
, MIT
Date: Thursday, September 26, 2024
Time: 6:30 PM to 9:00 PM Note: all times are in the Eastern Time Zone
Public: Yes
Location: 32-G449
Event Type: Seminar
Room Description: Kiva
Host: Peter Mager, p.mager AT computer.org
Contact: Dorothy Curtis, 617-253-0541, dcurtis@csail.mit.edu
Relevant URL: https://ewh.ieee.org/r1/boston/computer/esvelt2024.html
Speaker URL: None
Speaker Photo:
Reminders to:
seminars@csail.mit.edu
Reminder Subject:
TALK: Mice Against Ticks: Engineering white-footed mice to prevent Lyme disease
Boston Chapters of IEEE Computer and EMBS Societies and GBC/ACM
7:00 PM, Thursday, 26 September 2024
MIT Room 32-G449 (Kiva) and online via Zoom
Mice Against Ticks: Engineering white-footed mice to prevent Lyme disease
Kevin Esvelt, MIT
Please register in advance for this seminar even if you plan to attend in person at v https://acm-org.zoom.us/webinar/register/7017244304664/WN_j_wmVM-5S2-RfcJv8HJxgQ
After registering, you will receive a confirmation email containing information about joining the webinar.
Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity.
We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered.
Abstract:
Kevin will give us an update on his project to bioengineer mice to make them less effective as vectors that spread tick-borne diseases.
An earlier version of this work is described in https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452264/pdf/rstb20180105.pdf.
Kevin will give us an update on this project and explain how his team succeeded in engineering white-footed mice and what's involved in the field trials that will eventually allow the re-engineered mice to be introduced into the wild.
Bio:
Kevin Esvelt is Associate Professor of Media Arts and Sciences, NEC Career Development Professor of Computer and Communications and director of the Sculpting Evolution group at the MIT Media Lab. His group invents new ways to study and influence the evolution of ecosystems.
He received his Ph.D. from Harvard University for inventing a synthetic microbial ecosystem to rapidly evolve useful biomolecules, and subsequently helped pioneer the development of CRISPR, a powerful new method of genome engineering.
In 2013, Esvelt was the first to identify the potential for CRISPR “gene drive” systems to alter wild populations of organisms. Recognizing the implications of an advance that could enable individual scientists to alter the shared environment, he and his colleagues chose to break with scientific tradition by revealing their findings and calling for open discussion and safeguards before building the first CRISPR-based gene drive system and demonstrating reversibility in the laboratory.
An outspoken advocate of sharing research plans to accelerate discovery and improve safety, Esvelt's MIT lab seeks to accelerate beneficial advances while safeguarding biotechnology against mistrust and misuse. Projects include building catalytic platforms for directed evolution, pioneering new ways of developing ecotechnologies with the guidance of local communities, developing early-warning systems to reliably detect any catastrophic biological threat, applying cryptographic methods to enable secure and universal DNA synthesis screening, and advising policymakers on how best to mitigate global catastrophic biorisks.
His work has been published in Nature and Science, covered by the New York Times and Washington Post, and featured on Last Week Tonight and the Netflix special Unnatural Selection.
This joint meeting of the Boston Chapter of the IEEE Computer Society and GBC/ACM will be hybrid (in person and online), part of getting back to normal after the COVID-19 lockdown.
Up-to-date information about this and other talks is available online at https://ewh.ieee.org/r1/boston/computer/. You can sign up to receive updated status information about this talk and informational emails about future talks at https://mailman.mit.edu/mailman/listinfo/ieee-cs, our self-administered mailing list.
Research Areas:
Computational Biology
Impact Areas:
Health Care
Created by Dorothy Curtis at Saturday, September 21, 2024 at 11:51 PM.