FlowersML_conf
Registration open/11-12 July 2026/NYC Seminar & Conference Center/FlowersML_conf 2026/Call for proposals closes 4 June/Early bird ends 10 June/Registration open/11-12 July 2026/NYC Seminar & Conference Center/FlowersML_conf 2026/Call for proposals closes 4 June/Early bird ends 10 June/
Annual Conference

Where
machine
learning
blooms.

Two days at the intersection of research, practice, and the people shaping what comes next in Machine Learning.

Register NowView Programme
Dates
2 days
11 & 12 July 2026
Location
NYC
Seminar & Conference Center
Programme
3 tracks
Research, Applied & Ethics
Registration
Open
Early Bird Available
About the Conference

A serious conference for serious practitioners.

FlowersML_conf began as a single-track afternoon event and has grown into one of the most focused ML gatherings in NYC.

We are not a vendor conference. We do not sell keynotes or accept sponsored sessions. Our speakers are chosen because they have something worth saying.

At a Glance
Format
In-Person Only
Language
English
Capacity
400 Attendees
CFP Status
Open until 4 June
Conference Tracks
Track 01
Research & Foundations

Cutting-edge work from academia and industry labs. Papers, findings, and ideas that will shape the next generation of models and methods.

Track 02
Applied ML & Engineering

Real systems, real constraints. Practitioners sharing what actually works at scale including but not limited to infrastructure, deployment, evaluation, and hard lessons.

Track 03
Ethics, Society & Policy

Bias, governance, environmental cost, and what responsible development actually demands of us.

2026 Sponsors
View all sponsors→
Programme
Full schedule→
8:30 amRegistration & Morning Coffee
9:00 amKeynoteOpening RemarksDr. Leah Ramirez
9:20 amKeynoteThe Bitter Lesson Revisited: What Scaling Actually Taught UsProf. Bernard Okafor
10:05 amShort Break
10:15 amTalkResearch
Toward Mechanistic Interpretability at Scale: Sparse Autoencoders Beyond Toy Models
Dr. Jason Lee
10:15 amTalkApplied
Shipping LLM Products Without Breaking Everything: Lessons from 18 Months in Production
Samantha Patel
10:15 amTalkEthics
Auditing Foundation Models: Methodologies, Gaps, and Who Should Pay for It
Malik Mensah
10:50 amTalkResearch
Data Mixture Laws: How Corpus Composition Predicts Downstream Capability
Dr. Silvia Rossi
10:50 amTalkApplied
Evaluation Pipelines That Don't Lie to You: Building Ground Truth at Scale
Jonathan Kim
10:50 amTalkEthics
Environmental Accounting in ML: Why Current Carbon Estimates Are Almost Certainly Wrong
Dr. Emma Park
11:25 amLightning TalksResearch
Lightning Talks - Research Track
11:25 amLightning TalksApplied
Lightning Talks - Applied Track
11:25 amLightning TalksEthics
Lightning Talks - Ethics Track
12:00 pmLunch
1:15 pmKeynoteAgents in the Wild: What Six Months of Real Deployments Actually Looked LikeAngela Rivera
2:00 pmTalkResearch
Superposition and Polysemanticity: New Evidence from Activation Patching at Depth
Dr. Marcus Evans
2:00 pmTalkApplied
The Latency Tax: Real Costs of Chain-of-Thought in Customer-Facing Products
Lauren Schneider
2:00 pmTalkEthics
Differential Privacy for Fine-Tuning: What Practitioners Actually Need to Know
Dr. Aisha Rahman
2:35 pmTalkResearch
Long-Context Faithfulness: Measuring How Well Models Actually Use What You Give Them
Noah Bekele
2:35 pmTalkApplied
Structured Generation Without the Footguns: A Practitioner's Honest Assessment
Viktor Petrov
2:35 pmTalkEthics
Disparate Impact Across Language: Benchmarking Multilingual Models for Fairness
Dr. Heidi Sørensen
3:10 pmAfternoon Break
3:35 pmPanelIs the Benchmark Era Over? How We Know Whether Models Are Actually Getting Better
4:35 pmKeynoteDay One Close & Community AnnouncementsDr. Brian Choi
5:00 pmEvening Reception - Foyer & Rooftop Terrace
20 sessions
Call for Speakers

Have something worth saying?

We are looking for practitioners, researchers, and thinkers who can speak from direct experience. No panels, no pitch decks. Just honest, substantive talks.

Submit a Proposal →

Closes 4 June 2026