This workshop, part of the larger ICML conference, aims to bring together interdisciplinary machine learning researchers working in areas such as computational genomics; neuroscience; metabolomics; proteomics; bioinformatics; cheminformatics; pathology; radiology; evolutionary biology; population genomics; phenomics; ecology, cancer biology; causality; representation learning and disentanglement to present recent advances and open questions to the machine learning community. They especially encourage interdisciplinary submissions that might not neatly fit into one of these categories.
Welcome Lorenza Favrot, IICD's New inaugural Program Manager
for Outreach and Communications
This month, the Irving Institute for Cancer Dynamics (IICD) welcomes Lorenza Favrot as the inaugural Program Manager, Outreach and Communication. She will work with Dr. Sophie Thuault-Restituito, IICD Chief of Staff, to spearhead the communication and outreach endeavor of IICD. She brings her experience managing and coordinating a wide range of outreach and educational programs to the Institute.
Lorenza received her Ph.D. in Biochemistry from the University of Toledo in 2014, where she characterized the mechanism of inhibition of an essential enzyme involved in the pathogenesis of tuberculosis. She then completed a postdoctoral fellowship in the laboratory of John Blanchard at the Albert Einstein College of Medicine, pursuing research on Mycobacterium tuberculosis. In addition to her research position, she became one of the Einstein Postdoctoral Association co-chairs, managing an association of nearly 300 national and international postdoctoral research fellows. She found new ways to engage the postdoctoral community at Einstein, from remodeling the association to organizing various professional development and networking events. Lorenza also managed two social media platforms, expanding the association visibility among other NYC research institutions. In parallel, she is a passionate science communicator who became involved in several science outreach programs targeting a broad audience, from K-12 students to the general public. In particular, she has been a scientist volunteer with BioBus, a hands-on mobile laboratory, for the past four years.
Since 2019, she has worked as the program administrator and outreach co-director at the New York University Materials Research Science and Engineering Center, a National Science Foundation-funded interdisciplinary research center connecting over 30 faculty across six departments. She served as a liaison to facilitate the communication between all the involved stakeholders. In this role, she coordinated the MRSEC Research Experience for Undergraduates and various other outreach programs, including K-12 students’ visits to the labs and the biweekly research seminar series. She also collaborated with the Biobus or the World Science Festival on several outreach events.
Immunological memory is a complex system that is highly dynamic in time and space, involving multiple cell populations that compete, self-renew, turn over, and shift in phenotype and repertoire diversity over a person’s lifetime. The Yates group has openings for postdoctoral positions, using mathematical and computational methods to characterize the dynamic structure of T and B cell memory in various settings. Expertise in immunology is an advantage but not required. See more about this opportunity here, or to make an informal inquiry, email [email protected]
Joint Postdoc opening in the ZMBBI and IICD
The Herbert and Florence Irving Institute for Cancer Dynamics, and the Peterka lab at the Mortimer B. Zuckerman Mind Brain Behavior Institute are seeking a highly motivated postdoctoral research scientist to spearhead a collaborative research project focused on the application and development of advanced optical imaging instrumentation and methods for spatially resolved tissue imaging and -omics primarily in tumors. The postdoctoral research scientist will oversee developing new approaches to image and interrogate the tumor microenvironment with single-cell resolution. The ideal candidate has prior experience with advanced microscopy and optomechanical integration, as well as image processing and analysis. Please contact [email protected] and [email protected] if interested.