CHRISTINE KAESER-CHEN

Christine is a software engineer and manager at Google Research NYC. Her background is in computer vision and machine learning, and her passion is to create magic moments for users with these technologies. She currently works on a project to connect users with expert knowledge with the help of machine learning. Prior to this, she has also worked on applying machine learning in human-computer interaction for VR/AR, and in personal photo and video curation. She received an MS in Computer Science from ETH Zurich, and a BS in Mathematics and Computer Science from the Hong Kong University of Science and Technology. Christine gets a lot of her inspiration from experiences of living in and traveling to different cultures. Outside of work, she enjoys cooking, spending time in nature, and exploring the world with her husband.

ELIZABETH DUBOIS

Dr. Elizabeth Dubois (PhD, University of Oxford) writes, speaks, and teaches at the intersection of technology and politics. Technology critic meets advocate meets academic, she is an Assistant Professor, Department of Communication and Member of the Centre for Law, Technology and Society at the University of Ottawa. Her work examines political uses of digital media including media manipulation, citizen engagement, and artificial intelligence. Elizabeth leads a multi-disciplinary team which includes political scientists, computer scientists, and communication students. From running an online survey that doubled as a voter information tool in the 2015 Canadian federal election to writing op-eds, she endeavors to make her work accessible and valuable in a public forum. She has appeared before House of Commons committees and regularly briefs policy makers. Her public writing has appeared in Maclean’s, The Globe and Mail, the Toronto Star, Policy Options, The Conversation, Salon and has been featured in many others. On Twitter @lizdubois, at www.elizabethdubois.ca, or check out her latest article, “The Echo Chamber is Overstated”.

CHINTAN PARMAR

Chintan is an experienced researcher with an extensive and worldwide experience in biomedical research. Currently, he is a Postdoctoral Fellow in the Department of Radiation Oncology at the Dana-Farber Cancer Institute. He holds a Master of Technology degree in Information and Communication Technology with a specialization in Machine Intelligence from DA-IICT, Gandhinagar, India, and a PhD from Maastricht University in machine learning applications for Radiomics.

He is skilled in artificial intelligence, data science, biomedical informatics, radiomics, computer vision and computer science.

FRIEDERIKE SCHÜÜR

As the Director of Machine Learning and Research at CityBlock, Friederike puts data (and machine learning) at the service of people with complex healthcare needs. Prior to CityBlock, Friederike was a member of Fast Forward Labs (FFL), acquired by Cloudera, where she worked on emerging machine learning algorithms to develop new capabilities for industry. To help companies identify and realize novel opportunity, she built and led FFL’s Data Strategy Consulting practice. Friederike is a member of the data advisory board of USA for UNHCR (UN Refugees) and a long-standing Data Science for Social Good volunteer with DataKind. She earned a PhD in Cognitive Neuroscience from University College London, an MA in Philosophy, and an MS in Psychology.