at the Berkman Klein Center & MIT Media Lab

2019 Cohort

The 2019 Assembly cohort will confront emerging problems related to the ethics and governance of artificial intelligence. The cohort is a diverse group. The seventeen participants come from the private sector, academia, civil society, and government; and bring expertise in communications, ethics, machine learning, media theory, policy, project management, and more. Learn more about their interests and backgrounds below.

Yewande Alade

Yewande is an Engineering Program Manager at Google AI. As an industry standards advocate, she also serves as a delegate on the Artificial Intelligence subcommittee of the International Organization of Standardization (ISO). She is passionate about scaling AI product strategies and operations in a thoughtful, inclusive manner. Prior to joining Google, Yewande worked on financial policy implementation in the wake of the Great Recession. In addition to catalyzing tech transfer, she enjoys writing comedy and exploring the intersection of art and science. Drawing on her entrepreneurial interests, Yewande also serves as a Product Excellence Advisor at Alphabet’s Interop + Prototyping Lab and as a World Economic Forum Global Shaper.

Ania Calderon

Ania is a leading open government expert who supports government reformers from around the world to implement open data policies. She is currently Executive Director of the Open Data Charter, a collaboration between governments and partner organisations working to open up data based on a shared set of global principles. From 2012-2016, she delivered a key presidential mandate for open data in Mexico as General Director for the National Digital Strategy. She established data literacy and capacity building programs across more than 200 public institutions, developed tools and platforms to enable the access and use of standardised data, built channels to increase the ability of citizens to inform data release and started a national open data network of over 40 cities working to improve service delivery. Ania holds a Masters Degree in Public Administration from Columbia University, is part of the Technical Advisory Group of the Global Partnership for Sustainable Development Data and sits on the Advisory Board of Global Integrity, a non-profit organisation that supports progress toward open, accountable and effective governance in countries and communities around the world.

B Cavello

B is a Program Lead at the Partnership on AI. They lead projects and activities associated with PAI's Thematic Pillars, working closely with PAI Partner organizations. Previously, B served as Senior Engagement Lead for IBM's AI division, the Watson Group, where they led strategic conversations with world leaders about implementing Artificial Intelligence in the real world. In June of 2017, B was recognized as an IBM LGBT+ 'Out Role Model' for championing diversity and inclusion in and beyond IBM. Prior to IBM, B was both Product Development and Community Director at Exploding Kittens, a record-breaking crowdfunded card game startup. B also led Phenomenon Media 501c3, an arts and education nonprofit, developing an educational tool for teaching code without the need for computers. B's personal projects focus on social good and range from textile art to computer education and security and even a game to help NASA researchers study climate change.

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.

Walter Frick

Walter is Deputy Editor,, at Harvard Business Review, covering business, technology, and economics. He was a 2016 Knight Visiting Nieman Fellow at Harvard University, and has written previously for The Atlantic, MIT Technology Review, the BBC, and The Boston Globe, among other publications.

Iason Gabriel

Iason is an applied ethicist and political theorist who works as a senior research scientist at DeepMind in London. Based in the Ethics and Society team, his research focuses upon the ethics of new technologies, efforts to ensure that AI works for the benefit of all, and the challenge of aligning AI with human values. Before joining DeepMind, Iason taught politics at Oxford University for a number of years, and worked with the United Nations in Lebanon and Sudan on projects connected to extreme poverty.

Carl Governale

Best described as the happiest guy you know, Carl is the husband of an amazing woman and the father of an obstinate one year old. He knows neither sadness nor sleep. Both writer and futurist, Carl is keenly interested in ethical and techno-social issues. He is also a seasoned Navy SEAL officer with a decade of experience leading high-performance teams in ambiguous and asymmetric environments. Carl is currently serving as the Operations Officer for Naval Special Warfare Command’s Future Concepts and Innovation Directorate.

Bernease Herman

Bernease Herman is a data scientist and researcher at the University of Washington eScience Institute. Her research focuses on human-centered model evaluation and explainable machine learning. She also collaborates with researchers, startups, and non-profits by applying machine learning to innovation across domains. Bernease has worked on problems from data collection and analysis strategies in autonomous marine vehicles to creating synthetic data for medical applications to predicting inequity in Seattle urban data. Before joining UW eScience, Bernease was a Software Development Engineer at Amazon, where she collaborated with operations research scientists and statisticians to optimize statistical inventory models for Amazon’s Inventory Planning and Control system. Earlier, she worked on derivatives pricing and predictive modeling at the research arm of Morgan Stanley. Bernease earned her BS in Mathematics and Statistics from the University of Michigan. She spends her time Olympic weightlifting, rowing, designing games as well as hunting down simplified explanations and analogies for new concepts.

Pete Krafft

Pete is a researcher currently focused on studying public understanding of AI, the social science of algorithmic regulation, and ethical social data science practices. He also works in other various areas related to knowledge production in social contexts, including cognitive science, collective intelligence, cryptocurrencies, rumors, and disinformation. He is currently a postdoctoral fellow at the University of Washington, and will be joining the faculty of the Oxford Internet Institute in June this year.

Erich Ludwig

Erich is a Senior Product Manager at Indigo Ag, creating digital solutions to improve farmer profitability, environmental sustainability, and consumer health across global markets. Prior to Indigo, Erich worked in the intersection of music + tech (most recently on the Product team at Spotify), and previous to that in training, building and organizing communities. His work at Spotify included foundational metadata and content moderation projects. His work in labor organizing took him to variety of locations including Boston, Baltimore, Atlanta, and Seattle. As a mashup of these worlds, Erich approaches product management by examining product outcomes. He digs into questions of who benefits (and who is excluded) in the customer bases of products, and how those products can assist in creating inclusive, equitable and culturally relevant outcomes. When he’s not trying to change the world one line of code at a time, Erich is a father to two amazing children, and enjoys actively experiencing the world with them.

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.

Hong Qu

Hong Qu serves as the Program Director for Technology at the Shorenstein Center at Harvard Kennedy School. Hong was a designer on YouTube’s startup team. He also worked as the VP of product at Upworthy and chief technology officer at Fusion Media. He was a visiting Nieman fellow in 2013. Hong is a graduate of Wesleyan University and UC Berkeley’s School of Information.

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.

Dan Taber

Dan Taber, PhD, is a Product Scientist at Indeed and a long-time advocate of using data for social change. For 15 years, he has worked in academic, non-profit, and technology sectors to study topics ranging from food policy to employment to complex systems modeling. Turning data into action has been the common thread throughout his career. His dissertation in Epidemiology at UNC-Chapel Hill guided federal policy change, and as a Vice President of Research, he fostered collaborations between academic, city, and business leaders to address public health issues. Currently at Indeed, he combines machine learning and causal inference methods to help people find jobs. Also a passionate public speaker, he loves geeking out about data science to diverse audiences. Dan considers Seattle home but has lived and traveled all over the world. An adventure traveler at heart, he has backpacked through dozens of countries and has a knack for stumbling into bizarre travel stories.

Jeff Wen

Jeff Wen is a data scientist and tinkerer who is interested in developing products and utilizing technologies to improve decision making under uncertainty. He is passionate about applying computational methods to address sustainable development and environmental challenges in resource poor communities. Most recently as a data science team lead at Pixability, an advertisement technology startup based in Boston, and formerly as a data scientist at Tesla, Jeff has collaborated with peers to design, prototype, and deploy software solutions to business questions. Projects have ranged from geospatial mapping applications that enable real estate planning and mobile service allocation to fully-automated systems for advertisement optimization. Previously, Jeff was a consultant at ZS Associates working with pharmaceutical companies on sales and marketing strategy. Jeff holds a Bachelors in Economics from Wharton and a Masters in Environmental Studies from the University of Pennsylvania. In his free time, you can find him running outdoors, climbing at the local gym, or exploring new music from modern jazz to hip-hop.

Joseph Williams

A Seattle resident, Dr. Joseph Williams is the ICT Sector lead for Washington Governor Jay Inslee - a role that is part public policy advisor and part economic development director. A former professor, tech executive, and startup veteran, Joseph’s passion is addressing the public policy impacts of automation, machine learning, and AI. An alumnus of Cal-Berkeley, Wisconsin-Madison, and UT-Austin, Dr. Williams has authored 3 books and many dozens of academic and trade articles. Prior to his current role, Joseph was the Dean of the School of Business, Government and Economics at Seattle Pacific University. A passionate baseball fan, Joseph begins every April with high hopes for his Seattle Mariners.

The Advisory Board

Assembly Team

The Assembly Program is led by faculty and staff from the Berkman Klein Center, MIT Media Lab, and Harvard Law School, and by program alumni.


Assembly is a project run out of the Berkman Klein Center for Internet & Society at Harvard University and the MIT Media Lab. The project is part of the Ethics and Governance of Artificial Intelligence Fund.

If you have any questions about the program or would like to get in touch, please email us at