Broad Institute Next Generation in Biomedicine Symposium

Broad Institute Next Generation in Biomedicine Symposium

Monday, November 5, 2018 | 8:30am - 5:30pm

Broad Institute Auditorium, 415 Main Street, Cambridge, MA

The Broad Institute Next Generation in Biomedicine is a new effort to bring together emerging talent at the intersection of biomedical disciplines. Twenty early-career investigators from around the world will share their research and discuss exciting new directions.

Program:

8:00 - 8:30 AM Breakfast

8:30 – 8:40 AM Opening Remarks

8:40 – 10:20 AM First Session

10:20-10:50 AM Morning Break

10:50-12:30 PM Second Session

12:30-1:30 PM Lunch Break

1:30-3:10 PM Third Session

3:10-3:40 PM Afternoon Break

3:40-5:20 PM Fourth Session

5:20-5:30 PM Closing Remarks | Aviv Regev

Symposium Participants:

Noemi Andor, Stanford University
A pharmacodynamic model of a clone’s DNA-damage therapy sensitivity using single cell genomics

Elham Azizi, Dana Pe'er Lab, Memorial Sloan Kettering Cancer Center
Bayesian hierarchical modeling of immune phenotypes in the breast tumor microenvironment

David Booth, Nicole King lab, University of California at Berkeley
Building a simple model of animal multicellularity

Jonas Demeulemeester, Peter Van Loo lab, The Francis Crick Institute
Clustered mutational processes in cancer

Fangyuan Ding, Michael Elowitz lab, California Institute of Technology
Quantitative single cell splicing analysis reveals an 'economy of scale' filter for gene expression

Gozde Durmus, Burroughs Wellcome Fund CASI Fellow, Ronald David lab & Lars Steinmetz lab, Stanford University
Levitating Rare Biological Materials to Decode The Fundamentals

Karuna Ganesh, Assistant Attending Physician, Memorial Sloan Kettering Cancer Center, Instructor, Weill Cornell Medical College
Regenerative Origin of Metastasis Stem Cells

Xiaojing Gao, Michael Elowitz lab, California Institute of Technology
Programmable protein circuits in mammalian cells

Yury Goltsev, Gary Nolan lab, Stanford University
Dissection of cellular niches by multi-dimensional tissue imaging

Britney Johnson, Craig Cameron lab, Washington University School Of Medicine
Self vs. Non-Self: Mechanism of RNA Recognition by IFIT Proteins

Leeat Keren, Michael Angelo lab, Stanford University
Unravelling the geography of the tumor immune microenvironment using multiplexed imaging

Silvana Konermann, Hanna H. Gray Fellow, Salk Institute
Manipulating mammalian transcription for the interrogation of Alzheimer’s disease

Jianzhu Ma, Trey Ideker Lab, University of California San Diego
Interpretable Machine Learning for Cancer Study

Calin Plesa, Sri Kosuri lab, University of California Los Angeles
Multiplexed Engineering and Characterization of Protein Families using DropSynth

Melissa Reeves, UCSF Sandler Fellow
Tumor heterogeneity & its impact on the immune response

Nikolay Samusik, Gary Nolan lab, Stanford University
Architecture of tumor-immune interactions revealed by CODEX multidimensional imaging

Wesley Tansey, Raul Rabadan lab, Columbia University
Dose-response modeling in high throughput cancer drug screening: probabilistic deep learning with statistical guarantees

Samra Turajlic, The Francis Crick Institute
Tracking renal cancer evolution

Fabio Zanini, Stephen Quake lab, Stanford University
Virus-inclusive single cell RNA-Seq elucidates pathogen-host interactions during dengue virus infection

Marinka Zitnik, Jure Leskovec lab, Stanford University
New Machine Learning for Biomedical Sciences