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Lunch
Hong Yu · Bhanu Pratap Singh Rawat · Arijit Ukil · Waheeda Saib · Jekaterina Novikova · John Hughes · Yuhui Zhang · Rahul V · Mi Jung Kim · Babak Taati · Hariharan Ravishankar · Harry Clifford · Hirofumi Kobayashi · Babak Taati · Keyang Xu · Yen-Chi Cheng · Timothy Cannings · Jayashree Kalpathy-Cramer · Jayashree Kalpathy-Cramer · Parinaz Sobhani · Kimis Perros · Wei-Hung Weng · Yordan Raykov · Lars Lorch · Mengqi Jin · Xue Teng · Michael Ferlaino · Marek Rei · Cédric Beaulac · Aman Verma · Sebastian Keller · Edmond Cunningham · Luc Evers · Victor Rodriguez · Vipul Satone · Dianbo Liu · Angeline Yasodhara · Geoff Tison · Ligin Solamen · Bryan He · Rahul Ladhania · Yipeng Shi · Md Nafiz Hamid · Pouria Mashouri · Woochan Hwang · Sejin Park · Xu Chen · Rachneet Kaur · Davis Blalock · Holly Wiberg · Parminder Bhatia · Kezi Yu · RUMENG LI · Jun Sakuma · Charles Ding · Aaron Babier · Yong Cai · A Pratap · Luke O'Connor · Allen Nie · Martin Kang · Ian Covert · Xun Wang · Zelun Luo · Serena Yeung · William Boag · Kazuki Tachikawa · Mary Saltz · Owen Lahav · Edward Lee · Eric Teasley · Michael Kamp · Nirmesh Patel · Vishwali Mhasawade · Maxim Samarin · Ryo Uchimido · Farzad Khalvati · Francisco Cruz · Laura Symul · Zaid Nabulsi · Mads Mihailescu · Rosalind Picard
Sat Dec 08 09:30 AM -- 10:30 AM (PST) @
Author Information
Hong Yu (UMass-Lowell)
Bhanu Pratap Singh Rawat (UMass Amherst)
Arijit Ukil (Tata Consultancy Services, Kolkata, India)
Waheeda Saib (IBM Research)
Jekaterina Novikova (Winterlight Labs)
John Hughes (UC Berkeley)
Yuhui Zhang (Tsinghua University)
Rahul V (GE Global Research)
Mi Jung Kim (Ghent university)
Babak Taati (Toronto Rehab / University of Toronto)
Hariharan Ravishankar (GE Global Research)
Harry Clifford (Cambridge Cancer Genomics)
Hirofumi Kobayashi (The University of Tokyo)
Babak Taati (Toronto Rehab / University of Toronto)
Keyang Xu (Petuum Inc.)
Yen-Chi Cheng (National Tsing Hua University)
Timothy Cannings (University of Edinburgh)
Jayashree Kalpathy-Cramer (MGH/Harvard Medical School)
Jayashree Kalpathy-Cramer (MGH/Harvard Medical School)
Parinaz Sobhani (Georgian Partners)
Kimis Perros (Georgia Tech)
Wei-Hung Weng (Massachusetts Institute of Technology)
Yordan Raykov (Aston University)
Lars Lorch (Harvard University)
Mengqi Jin (Amazon)
Xue Teng (Pulse Infoframe Inc.)
Michael Ferlaino (Big Data Institute, University of Oxford)
Marek Rei (University of Cambridge / Transformative AI)
Cédric Beaulac (University of Toronto)
Aman Verma (McGill University)
Sebastian Keller (University of Basel)
Edmond Cunningham (University of Michigan)
Luc Evers (Radboudumc)
Victor Rodriguez (Columbia University)
Vipul Satone (University of Illinois at Urbana-Champaign)
Dianbo Liu (University of Harvard/Boston Children's Hospital)
Angeline Yasodhara (University of Toronto)
Geoff Tison (University of California, San Francisco)
Ligin Solamen (Dartmouth College)
Bryan He (Stanford University)
Rahul Ladhania (Carnegie Mellon University)
Dr. Rahul Ladhania is an Assistant Professor of Health Informatics in the Department of Health Management and Policy. He received his B.Tech from the Indian Institute of Technology Madras, and his Ph.D. from Carnegie Mellon University. Before Michigan, he was a post-doctoral researcher with the Behavior Change For Good Initiative (BCFG) at The Wharton School of the University of Pennsylvania. Currently affiliated as a visiting scholar with BCFG, Rahul co-leads the BCFG machine learning team. He is also an affiliate faculty with the Center for Health Incentives and Behavioral Economics (CHIBE) at Penn.
Yipeng Shi (Dartmouth College)
Md Nafiz Hamid (Iowa State University)
Pouria Mashouri (University Health Network (UHN))
Woochan Hwang (Imperial College London)
Sejin Park (VUNO Inc.)
Xu Chen (SAS Institute)
Rachneet Kaur (University of Illinois at Urbana Champaign)
Davis Blalock (MIT)
Holly Wiberg (Massachusetts Institute of Technology)
Parminder Bhatia (Amazon)
Kezi Yu (IQVIA)
RUMENG LI (University of Massachusetts Amherst)
Jun Sakuma (University of Tsukuba)
Charles Ding (University of Toronto)
Aaron Babier (University of Toronto)
Yong Cai (IQVIA)
A Pratap (Sage Bionetworks / University of Washington)
Luke O'Connor (Harvard Chan School of Public Health)
Allen Nie (Stanford University)
Martin Kang (Mount Sinai School of Medicine)
Medical student interested in machine learning
Ian Covert (University of Washington)
Xun Wang (Umass Amherst)
Zelun Luo (Stanford University)
Serena Yeung (Harvard / Stanford)
William Boag (MIT)
Kazuki Tachikawa (Osaka Univ.)
Mary Saltz (Stony Brook)
Owen Lahav (University of Oxford)
Edward Lee (Stanford University)
Eric Teasley (Google)
Michael Kamp (University of Bonn / Fraunhofer IAIS)
Nirmesh Patel (Cambridge Cancer Genomics)
Vishwali Mhasawade (New York University)
Maxim Samarin (University of Basel)
Ryo Uchimido (Beth Israel Deaconess Medical Center/ Harvard T. H. Chan School of Public Health)
Farzad Khalvati (University of Toronto)
Francisco Cruz (Universidad Central de Chile)
Laura Symul (Stanford University)
Zaid Nabulsi (Stanford)
Mads Mihailescu (Georgian Partners)
Rosalind Picard (MIT Media Lab)
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2017 Poster: Label Efficient Learning of Transferable Representations acrosss Domains and Tasks »
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2017 Poster: Inferring Generative Model Structure with Static Analysis »
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2017 Poster: Effective Parallelisation for Machine Learning »
Michael Kamp · Mario Boley · Olana Missura · Thomas Gärtner -
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2016 Poster: Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much »
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