
Welcome to our
Oberlin College & Conservatory
Class of 1969
50th Reunion
Website
Thanks for coming! As part of the CRW (Commencement / Reunion Weekend), our 50th Reunion was held on campus May 24-27, 2019. We hope to maintain this website for years so it can serve as our "memory book." See the -Scrapbook section.
If you're new here, you'll see an Announcement below explaining how to join the site. If you've been here before, you can continue staying in touch with comments on your -Classmate Profile as well as exchanging messages with your friends.
Also, the classes of 1967 and 1968 joined us for a Cluster Reunion on campus from September 29 through October 1, 2023.
Even though you're logged in to this Class of 1969 website, you're encouraged to go to the separate Cluster site at www.obie676869.com, click on your name, and "click now to create your login." Then you can say hello to members of all three classes!
If you're new to this website, please go to the First Time Visitors menu item (on the top bar above) to learn about it. Then go to Classmate Profiles and locate your name. (Tip: try a Search for your name, which is faster that scrolling through that long list.) Click on your name and follow the prompts to create your profile.
Many of your classmates have already joined, and you can check out their profiles. However, many have not, and you can help us out! Go to Not Yet Joined This Site , where you'll find several of your old friends on the list. If you know how to get in touch with any of them, please do so and ask them to join us here.
AI: What’s Happening At Oberlin
DATE: Tuesday, March 10, 2026
TIME: 7:00–8:30 PM Eastern Time ( 6-7:30 PM CST, 5-6:30 PM MST, 4-5:30 PM PST)
In September Oberlin President Ambar designated 2025-'26 the Year of AI Exploration at Oberlin. Among the goals for the year are:
• Support institutional exploration of AI through speakers, workshops, and hands-on opportunities for faculty, staff, and students.
• Grapple with the concerns that AI raises in faculty research and pedagogy, student learning, ethical and privacy matters, environmental considerations
• Work together to establish policy and procedures.
In this session alumni will receive an update from administration, faculty, and a student six months into the exploration effort. Alumni will have the opportunity to submit questions when registering and during the program.

Speakers:
Laura Baudot, Senior Associate Dean of the College of Arts and Sciences, Associate Professor of English, and Director, StudiOC
Adam Eck, David H. and Margaret W. Barker Associate Professor of Computer Science and Chair of Data Science and Critical AI Studies
Tanisha Shende ‘26, Senior Computer Science and Mathematics Major, Minoring in Sociology and an Integrative Concentration in Data Science
Biographies:
Laura Baudot (BA, Wellesley College, 1997, PhD, Princeton University, 2005) is Oberlin Associate Professor of English and Director, StudiOC. She chairs the Educational Plans and Policies Committee (EPPC). Her research and teaching interests center on 18th-century British literature and include history of science, 18th-century British art, and book history. Her interest in book history and 18th-century art has grown as a result of developing teaching strategies aimed at both broadening the appeal of 18th-century literary works and giving students a more vivid sense of historical context. In her course on the 18th-century British novel, she holds lab sessions in the library’s Special Collections. She is currently writing a book about how empirical, philosophical, and religious concepts of empty space and nothingness animate a tradition of 18th-century English literary experimentation with the printed book.
Adam Eck is the Arts & Sciences Director of AI Strategy and Innovation; David H. and Margaret W. Barker Associate Professor of Computer Science, Business, and Data Science; and Chair of Data Science and Critical AI Studies at Oberlin College. His teaching interests include introducing students to problem solving using computer science and computational methods, as well as the fundamentals and applications of machine learning and artificial intelligence. Adam leads the Social Intelligence Lab at Oberlin where he conducts research with students studying multiagent decision-making in complex environments, as well as interdisciplinary applications of machine learning in computational social science and public health.
Tanisha Shende is a senior at Oberlin College majoring in Computer Science and Mathematics, with a minor in Sociology and an integrative concentration in Data Science. She conducts research on human-computer interaction, AI, and virtual reality at Cornell University, MIT, and Oberlin. Her goal is to obtain a PhD in Computer Science or Information Science.
2023 Photos
Did you have a chance to attend our 55th Cluster Reunion during Homecoming Weekend 2023? Below we see a moment with President Carmen Twillie Ambar and Walt Galloway '69 during the Saturday evening dinner, part of an extensive collection of pictures by College photographers. If you have photos or memories to share, be sure to post them on this website or on the Cluster website at www.obie676869.com.


