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A tailored experience built around the student.
1-on-1 Mentorship is the path for students who want more than what fits in a group lab. Four kinds of students typically choose it:
Students going deeper on a Project Lab topic. You saw a lab that matched your interest but want more individual attention, or you couldn't get a seat in a small cohort. We pair you with a mentor working on that same kind of problem.
Students who need a flexible schedule. You want Project Lab quality work but our Mon/Wed/Fri schedule doesn't fit. We build the cadence around you and your mentor.
Students extending a Discovery Lab into real work. Discovery introduced you to a domain. 1-on-1 turns that introduction into a tailored project with a matched mentor.
Students with a defined project of their own. You already know what you want to build or investigate. We match you with the right mentor and build the track around your work.
Hongyu Hsien took this path: Discovery in 2024, then a year of 1-on-1 work that became a published paper in the Digital Orientalist Journal.
Available Mentors
"The deep ocean is stranger and more alive than they imagined."
Dr. Kyle Sanders is a classicist who works on the strange, underexamined ancient texts that reveal what more famous ones do not. He has spent his career trying to make them accessible to anyone curious enough to read them. This summer that work meets a new tool: his students will take the Spiritual Meadow, a 7th-century Greek collection of stories about desert monks, and use AI to turn scanned pages into machine-readable text, extract the saints and places named across its stories, and map where in the ancient world these monastic encounters took place.
AI Evaluation · Project Lab
"Does the model mean what it says, or has it just learned to look like it does?"
Adejumobi Joshua leads SeqHub AI Research, contributing to the field of AI evaluation: how large language models behave with respect to bias, sycophancy, safety, and alignment. Last summer her students presented at the Women in Machine Learning workshop at NeurIPS. This summer she is inviting students into two live investigations: whether what a language model outputs corresponds to what it actually represents internally, and whether prompting alone can reduce bias in language models, or whether models are simply performing compliance because they sense they are being evaluated. Real research questions, with results that could go either way.
Digital Humanities · Project Lab
"What does this text reveal when you can finally read it as a collection?"
Dr. Kyle Sanders is a classicist who works on the strange, underexamined ancient texts that reveal what more famous ones do not. He has spent his career trying to make them accessible to anyone curious enough to read them. This summer that work meets a new tool: his students will take the Spiritual Meadow, a 7th-century Greek collection of stories about desert monks, and use AI to turn scanned pages into machine-readable text, extract the saints and places named across its stories, and map where in the ancient world these monastic encounters took place.
Neuroscience & AI · Project Lab
"We won't see a human-like AI until we make one that can lose its mind."
Dr. Kyle Sanders is a classicist who works on the strange, underexamined ancient texts that reveal what more famous ones do not. He has spent his career trying to make them accessible to anyone curious enough to read them. This summer that work meets a new tool: his students will take the Spiritual Meadow, a 7th-century Greek collection of stories about desert monks, and use AI to turn scanned pages into machine-readable text, extract the saints and places named across its stories, and map where in the ancient world these monastic encounters took place.
Program Schedule
Any five-week window between June 15 and August 7, 2026
Scheduled directly around the student and mentor.
Friday sessions are Demo Days with extended time.
Cost & Logistics
Price: $6,000
Format: 5 weeks, 1-on-1 with a matched mentor