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Take a deep dive into artificial intelligence and what the future holds for humanity. Join alumni, Science News readers, and other members of the Society for Science community on Sunday, November 14 1:00 pm – 3:00 pm EDT for our annual Signature Event.


Tuesday – Wednesday, November 9-10, 2021 | Pre-Event Open House

Starting at 12:00 pm EDT / 9:00 am PDT, Tuesday, November 9, 2021

Log on starting at 12:00 pm on Tuesday, November 9 to build your avatar, explore the virtual space via scavenger hunt, meet fellow AI/ML enthusiasts, and more.

Sunday, November 14, 2021 | Signature Event

1:00 pm EDT | Welcome | Maya Ajmera, Society for Science President & CEO and Publisher of Science News

1:10 pm EDT | Keynote | Tom Gruber, Impact Advisor, Humanistic AI

1:45 pm EDT | Q&A with Tom Gruber | Hosted by Anna-Katrina Shedletsky, Founder & CEO, Instrumental and member of the Society’s National Leadership Council

2:00 pm EDT | AI Exchanges | Meet, engage, and talk shop with leaders across the Artificial Intelligence and Machine Learning space. Bios below.

3:00 pm EDT | Conclusion | Attendees can continue to talk to one another and explore the space for the remainder of the day.

Reserve Your Spot

Register Here

Welcome Remarks: Maya Ajmera

President & CEO, Society for Science
Publisher, Science News
Science Talent Search 1985

Maya Ajmera is President & Chief Executive Officer of Society for Science and Publisher of Science News. A globally recognized social entrepreneur, Maya founded The Global Fund for Children, which she led for 18 years. Maya is also an award-winning author of nearly 20 children’s books, has held several academic appointments at Duke University and Johns Hopkins University and is an alumna of the 1985 Science Talent Search. Maya holds an A.B. from Bryn Mawr College and a M.P.P. from the Sanford School of Public Policy at Duke University.

Keynote: Tom Gruber

Co-founder, CTO & Head of Design of Siri
Founder of Humanistic AI
Science News reader

Tom Gruber is Co-founder and CTO for the team that created Siri, which is used 25 billion times a month, and was head of Apple’s Advanced Development Group for 8 years. He has founded 4 companies, and a pioneer in collaboration, knowledge management software, and collective knowledge. Tom also defined the role of ontology for the Semantic Web and was early in the use of AI for assistive technology. Today, Tom advises over a dozen companies that use AI for humanistic purposes, including assistive neurotech and AI for mental health care. He is also working to save the ocean during our lifetimes. Tom obtained his Ph.D. in AI and conducted 5 years research as a research associate at Stanford University. You can learn more at

Tom Gruber headshot

Moderator: Anna-Katrina Shedletsky

Founder & CEO, Instrumental
Member, National Leadership Council
Science Talent Search 2004; International Science and Engineering Fair 2003-2004

Anna-Katrina is the CEO and founder of Instrumental, a manufacturing data company that uses machine learning to find anomalies on consumer electronics assembly lines. She has two degrees in mechanical engineering from Stanford University, and went on to work as a Product Design Engineer at Apple. During her six years there, she designed mechanical components for three iPods and led system product design for the Apple Watch Series 1. After spending over 300 days in China finding and fixing issues on manufacturing lines, she started Instrumental to build an intelligent quality system to modernize manufacturing. Instrumental customers range from startups to Fortune 500s and span consumer electronics, apparel, and more. In her free time she runs WISMP, a mentorship program for women university students in STEM fields.

Anna-Katrina Shedletsky

Meet & Greet with Industry and Research Leaders in Artificial Intelligence and Machine Learning

AI Exchanges

Elena Glassman ISEF 2001-2004

Elena Glassman

Assistant Professor, Harvard SEAS and Stanley A. Marks
William H. Marks Assistant Professor, Radcliffe Institute
International Science and Engineering Fair 2001-2004

Elena leads a research group at Harvard SEAS specializing in human-computer interaction. During her graduate and post-graduate studies, she was supported by fellowships for innovative research and teaching, including the MIT Amar Bose Teaching Fellowship, the Berkeley Institute for Data Science Fellowship, and both the National Defense Science & Engineering and NSF graduate research fellowships. She was awarded the Intel Foundation Young Scientist Award at ISEF 2003 and the IEEE Presidents’ Scholarship, among others. Elena earned a Ph.D. and M.Eng. in electrical engineering and computer science and a BS in electrical science and engineering from the Massachusetts Institute of Technology.

PLACE HOLDER - Grace Gee headshot

Grace Gee

ML Researcher, Enveritas
Science Talent Search 2011

Grace is a Thiel Fellow, YC Fellow and ML researcher at Enveritas, a nonprofit that leverages machine learning and satellite imagery to provide sustainability assurance for smallholder farmers that are beyond the reach of existing certification approaches. Enveritas is in 20+ countries and aims to bring all coffee smallholders out of poverty by 2030.

Prior to Enveritas, Grace was CEO of HoneyInsured, a startup built on her Harvard published research which was cited in House and Senate testimonies. Grace received a BA in Applied Math in CS & Statistics from Harvard. She is originally from Port Lavaca, Texas.

David Rolnick STS 2008

David Rolnick

Assistant Professor, McGill University
Science Talent Search 2008

David is an Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila – Quebec AI Institute. He is Co-founder and Chair of Climate Change AI and serves as Scientific Co-director of Sustainability in the Digital Age. David was named to the MIT Technology Review’s 2021 global list of “35 Innovators Under 35” and is a former NSF Mathematical Sciences Postdoctoral Research Fellow, NSF Graduate Research Fellow, and Fulbright Scholar. He received his Ph.D. in Applied Mathematics from MIT.

Catherine Havasi, National Leadership Council

Catherine Havasi

Chief Product Officer of Basis Technology Corp.
Co-founder of Luminoso Technologies, Inc.
1999 Science Talent Search
1998-1999 International Science and Engineering Fair

Catherine is an American scientist who specializes in artificial intelligence, previously holding a research post at MIT Media Lab, where she started the project that created the AI resource ConceptNet. Bridging the gap between artificial intelligence and business, she co-founded the analytics company Luminoso and ran it for eight years. She is currently Chief Product Officer of the mission-critical artificial intelligence company, Basis Technology. She was named among Boston Business Journal’s “40 Under 40”, of business and civic leaders making a major impact in their respective fields in 2014. Fast Company included her in its “100 Most Creative People in Business 2015″ listing. She is co-author of 7 peer-reviewed journal articles on AI and language, and many peer-reviewed major conference presentations. Catherine received her S.B. and M.Eng from MIT and her Ph.D. in Computer Science from Brandeis University.

Rajen Sheth

Rajen Sheth

Vice President, Google Cloud AI and Industry Solutions, Google
Science Talent Search 1994
International Science and Engineering Fair 1992, 1993 and 1994

Rajen is Vice President of Google Cloud AI and Industry Solutions, where he focuses on making AI technology easy and useful for developers and enterprise customers. Previously, Rajen led the development of Android and Chrome for business and education, including the Android for Work products, the Chromebooks for Education product line, and Chromebooks and Chrome browser for work. Rajen also helped create and lead product development for Google Apps for Work and Education (now known as GSuite), a full suite of communication and collaboration products for businesses, now used by over 5 million businesses. He received his B.S. in Electrical Engineering and M.S. in Computer Science from Stanford University.

Michael Viscardi

Michael Viscardi

Technical Leader / Research Engineer,
Science Talent Search 2006
International Science and Engineering Fair 2006

Michael is a Technical Lead and Research Engineer working on computer vision for self-driving cars at Prior to his transition to industry, Michael conducted research as a postdoctoral fellow at UC Berkeley working on algebraic geometry and mathematical aspects of string theory. Michael has a Ph.D. in in Mathematics from MIT, an A.B. in Mathematics from Harvard University and a Master of Music in Violin Performance from the New England Conservatory of Music. He began his research on complex analysis in high school where he competed in the 2006 Science Talent Search and International Science and Engineering Fair.