Agenda

Grand Hall · 2:50 – 4:00 PM

Research Slam, Hackathon Demos & Startup Pitches

Run of show

Overview

2:50 – 3:15 PM · Research Slam

Research Slam: Lab to Market

  1. Preference Modeling for LLM Alignment under Heterogeneity

    Making LLM post-training well aligned with human goals.

  2. What if AI Fails Exactly When it Matters?

    We ask how to better emulate rare, extreme events when high-resolution training data are scarce by using the geometry of nudged ensembles to identify local instabilities and inform existing surrogate models non-intrusively.

  3. Reproducing ELEPHANT: Judge-Dependence and Model Deprecation in an LLM Sycophancy Benchmark

    Reproducing the ELEPHANT LLM sycophancy benchmark, we find its results partly hold but depend on judge and evaluation settings, and that such benchmarks face a short "reproduction window" before the models they evaluate are retired.

  4. Statistical Frameworks for Reliable Generation

    Controlling risk while preserving utility in language model generation.

  5. Through the Eyes of the Citizen

    Individualized AI for trustworthy urban evaluation

Judges

  • Abubakar Abid, HuggingFace — MIT AI Conference speaker

    Abubakar Abid

    HuggingFace

    Head of Applications

  • Houssam Kherraz, Kensho — MIT AI Conference speaker

    Houssam Kherraz

    Kensho

    ML Manager

  • Jesika Haria, OpenAI — MIT AI Conference speaker

    Jesika Haria

    OpenAI

    Member of Product Staff

Hosted by

  • Anas Chentouf, MITAI 2026 — MIT AI Conference speaker

    Anas Chentouf

    MITAI 2026

    Research Slam Lead

  • Rebeca Hwang, Kalei Ventures — MIT AI Conference speaker

    Rebeca Hwang

    Kalei Ventures

    Managing Director

Coach

  • Jen García, Caltech CTME  — MIT AI Conference speaker

    Jen García

    Caltech CTME

    Advising and Teaching AI Programs

3:15 – 3:30 PM

Hackathon: Dorm to Market

Presenters

  1. Experative

    Experative builds the memory and decision-making layer for autonomous scientific discovery, enabling self-driving laboratories to learn from every experiment and continuously improve what they do next.

  2. FirstSignal

    FirstSignal is an AI-powered venture sourcing and diligence platform that discovers promising founders early and uses evidence-grounded multi-agent analysis to evaluate them against an investment thesis.

  3. Haggl

    Patients who challenge a medical bill usually win. Most who don't assume it's pointless. Haggl finds the errors and savings, then handles the calls, emails, and letters to win them.

Other finalists

  • AMIRA

    AMIRA is an AI-powered evidence navigation platform for women’s hormonal health that helps clinicians and patients understand what the evidence says, where it conflicts, and what remains unknown.

  • Anaphora Labs

    Anaphora Labs is the AI-native operating architect that maps, redesigns, and automates how enterprises run.

  • Antemyth

    AI that runs your company’s IT end to end.

  • GPU

    Developed GPU architecture that accelerates RISC-V and C programs with warp cores and vector lanes, achieving high performance on parallel workloads such as graphics, physics simulations, and AI model inference—all in 24 hours.

  • Laufwerk

    Your enterprise’s expertise should scale like software. Laufwerk provides a self-hosted platform to build and run AI systems that make it possible.

  • Vera Labs

    At the intersection of AI & Real World Execution

Hosted by

  • Kai Nestor Wiederhold, MIT Club Germany — MIT AI Conference speaker

    Kai Nestor Wiederhold

    MIT Club Germany

    Director Innovation

  • Linn Bieske, MITAI 2026 — MIT AI Conference speaker

    Linn Bieske

    MITAI 2026

    Hackathon Lead

Meet the Hackathon jury

  • Sung Choi, Deutsche Bank — MIT AI Conference speaker

    Sung Choi

    Deutsche Bank

    Director, Private Bank

  • Aaron Edell, Amazon Web Services — MIT AI Conference speaker

    Aaron Edell

    Amazon Web Services

    Global Head of Startup Investor Management and GTM - Accelerators and Universities

3:30 – 3:45 PM

Startup Showcase

  1. Sona8

    Building the context layer for enterprise AI through voice agents that survey employees.

  2. Waku.one

    Waku.one captures decisions as your team makes them, so agents never ask twice and never act on stale ones.

  3. ThoughtForge AI

    ThoughtForge is building an AI control platform that enables robots to adapt in real time to enable higher uptime and faster deployment across tasks and environments.

  4. Vound

    A robotics startup building data and deployment infrastructure for physical AI

Hosted by

  • Eesha Khare, Mariana Minerals  — MIT AI Conference speaker

    Eesha Khare

    Mariana Minerals

    Staff Product Manager

  • Linn Bieske, MITAI 2026 — MIT AI Conference speaker

    Linn Bieske

    MITAI 2026

    Hackathon Lead

Meet the Startup jury

  • Jon Xu, Y Combinator — MIT AI Conference speaker

    Jon Xu

    Y Combinator

    General Partner

  • Irina Starikova, Ross Stores — MIT AI Conference speaker

    Irina Starikova

    Ross Stores

    SVP IT - Supply Chain, Stores, and Corporate Applications

  • Zain Gulamali, Microsoft — MIT AI Conference speaker

    Zain Gulamali

    Microsoft

    VC and Strategic Startups Partnerships – Head of US West, Microsoft for Startups

Research Slam · Hackathon · Startup Pitches

Judging

Celebrating the ideas, research, and demos shaping what comes next.

Hosted by

  • Rebeca Hwang, Kalei Ventures — MIT AI Conference speaker

    Rebeca Hwang

    Kalei Ventures

    Managing Director