fbpx

Organizers

WiML 2019 Reception Organizers

Srishti Yadav
Meha Kaushik

Diversity and Inclusion Chairs

Area Chairs and Emergency Reviewers

We would like to acknowledge and warmly thank our Area Chairs and Emergency Reviewers (listed below) who worked tirelessly to ensure a high quality WiML 2019 workshop. We would also like to thank our ~500 reviewers for volunteering their time for the success of this event.
Name Surname Institute
Adina Williams Facebook AI Research
Adji Bousso Dieng Columbia University
Adriana Romero Facebook AI Research
Alessandra Tosi Mind Foundry
Alexandra Schofield Harvey Mudd College
Allison Chaney Duke University
Amita Misra IBM
Angelica Aviles-Rivero University of Cambridge
Ankita Shukla Indraprastha Institute of Information Technology - Delhi
Anna Klimovskaia Facebook AI Research
Anna Kruspe DLR
Anusua Trivedi Microsoft
Atieh Taheri University of California, Santa Barbara
Audrey Durand Université Laval
Aysegul Dundar NVIDIA
Baharan Mirzasoleiman Stanford University
Beliz Günel Stanford University
Besmira Nushi Microsoft Research
Beyza Ermis Amazon Research Berlin
Bojan Karlas ETH Zurich
Boyi Li Cornell University
Buket Yüksel Koç University
Cedric Renggli ETH Zurich
Celestine Mendler-Dünner UC Berkeley
Chelsea Finn Stanford University
Dalin Guo UC San Diego
Debora Nozza University of Milano Bicocca
Deepta Rajan IBM research
Deepti Ghadiyaram Facebook Research
Diana Cai Princeton University
Diman Ghazi IBM
Fatemeh Afghah Northern Arizona University
Gintare Karolina Dziugaite Element AI
Ilke Demir Facebook
Isabela Albuquerque Institut National de la Recherche Scientifique
Johannes Rausch ETH Zurich
Kalesha Bullard Facebook AI Research
Katherine Niehaus Apple
Katherine Kinnaird Smith College
Kuan-Ting Chen National Taiwan University
Manal AlGhamdi Umm AlQura University
Maria Glenski Pacific Northwest National Laboratory
Mariette Awad American University of Beirut- AUB
Marwa El Halabi MIT
Mayoore Jaiswal IBM Research
Mengjiao Wang Imperial College London
Minhae Kwon Rice University, Baylor College of Medicine
Nastaran Baradaran Citrix Systems
Natalia Efremova University of Oxford
Nataly Brukhim Princeton University
Negar Rostamzadeh Element AI
Nesime Tatbul Intel Labs and MIT
Niha Beig Case Western Reserve University
Niki Parmar Google
Nora Hollenstein ETH Zurich
Obioma Pelka University of Applied Sciences and Arts Dortmund
Pallika Kanani Oracle labs
Peixian Liang University of Notre Dame
Pooja Sharma BIT Sindri
Priyanka Mandikal University of Texas at Austin
Rachel Cummings Georgia Tech
Ramya Srinivasan Fujitsu Laboratories of America
Sabina Tomkins Stanford University
Safoora Yousefi Emory University
Samira Daruki Google
Sandhya Prabhakaran Moffitt Cancer Center, Florida
Sandya Mannarswamy Independent Researcher
Sara Magliacane MIT - IBM Watson AI Lab
Sara Wade University of Edinburgh
Savannah Thais Princeton University
Sergul Aydore Stevens Institute of Technology
Sima Behpour University of Pennsylvania
Sinead Williamson Amazon
Spandana Gella Amazon AI
Subarna Tripathi Intel AI Lab
Surangika Ranathunga University of Moratuwa
Susie Xi Rao ETH Zurich
Svitlana Volkova Pacific Northwest National Laboratory
Tania Lorido-Botran Pacific Northwest National Laboratory
Thomas Lemmin ETH Zurich
Xenia Miscouridou University of Oxford
Xiao Zhang T-Mobile
Xinyi Chen Google
Xun Tang Yelp
Yao Qin University of California, San Diego
Yi-Ting Tsai University of California, Berkeley
Yixin Wang Columbia University

Copyright © Women in Machine Learning 2019