The Second
AI Workshop
New York City
AI and Statistics Intersect
Theme: Artificial Intelligence (AI) and Statistics Intersect
The 2nd AI Workshop NYC will be held on July 26, 2026, bringing together innovators, researchers, and enthusiasts for a transformative day of learning and collaboration. It will feature keynote presentations, round tables, mentor matching, a mini-hackathon, live demonstrations, and interactive networking, all focused on the current advancements and future of AI. Attendees will explore topics such as generative AI, agentic AI, machine learning, deep learning, ethics, and responsible deployment practices. The event welcomes all experience levels.
Goals
We prioritize AI development that considers societal impact, transparency, and accountability. Our workshop brings together stakeholders committed to ensuring AI serves the greater good.
Our attendees include leading researchers, data scientists, industry leaders, and policy makers who shape the future of AI. This community helps drive responsible innovation across sectors.
We believe strong statistical foundations are essential for AI. Through workshops, panels, and hackathons, we educate the next generation on rigorous methods for building trustworthy AI systems.
Bridging the gap between academic research and real-world applications, we foster collaboration that accelerates the adoption of ethical, evidence-based AI solutions.
Scope
Statistics and Data Science
Exploring how AI and statistical methods converge to drive responsible innovation.
Ethical and Responsible AI
Focused on AI that serves societal benefit through transparency and accountability.
Technological Innovations
Connecting academia, industry, healthcare, finance, and mission-driven organizations.
Hackathon and Trivia
High school, university, and professional tracks competing to solve real-world challenges.
Audience
Statisticians & Quantitative Researchers
AI Scientists & Modelers
Academic & Industry Statisticians
High School to Graduate Students
Hackathon Contestants (University & HS)
Mission-Driven Organizations
Agenda
Track 1: Presentations, Panels, and Awards
Track 2: Innovations, Demos, and Discussions
Registration
Sponsors
Committees
Advisory Board
Benjamin Leinwand (Chair)
Patricia Dorling
Jui Haker
Marcia Levenstein
Dhaval Patel
David Rindskopf
CG Wang
Frank Yoon
Program Committee
Siddhesh Kulkarni (Chair)
Ahsaas Bajaj
Lee Kim
Siddh Mandirwala
Anusha Natarajan
Larry O'Connell
Xian Sun
Yirun Wang
Ching-Ray Yu
Speaker Committee
Kelly H. Zou (Chair)
Ozan Adiguzel
Michael Cicchetti
Kamya Moud
Abi Roland
Sarah Samorodnitsky
Talent Committee
Bill Emker (Chair)
Lisa DeTora
Jie Feng
Gabriel Jipa
Mengling Liu
Margarita Ochoa-Maya
Salman Rizvi
Hackathon Committee
Matthew Stewart (Chair)
Julia Cai
Harry Kabodha
Ayman Khaleq
Cassandra Pernia
Michelle Tan
Evagoras Xydas
NextGen Leadership Committee
Owen Clater (Chair)
Cici Huang
Lee Kim
Smita Patel
Lesley Shane
Reece Stone
Jie Tang
Ramin Zand
Social Media
AI and Statistics Intersect
I ❤️ AI
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
AI and Statistics Intersect
I ❤️ ASA
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
AI and Statistics Intersect
I ❤️ NYC
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
AI and Statistics Intersect
I ❤️ Statistics
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
AI and Statistics Intersect
I Volunteer
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
AI and Statistics Intersect
I Enjoy
The 2nd AI Workshop NYC
#AIWSNYC
July 25–26, 2026
Contact Us
Or email us directly at NYCASAChapter@gmail.com
New York City
Total Number of Attendees = 102
Statistics Hub
NYC is home to world-class statisticians and research institutions driving innovation in quantitative sciences.
Data Science Capital
Leading tech companies and startups converge in NYC, creating a thriving ecosystem for data-driven solutions.
AI Talent
Top AI researchers, engineers, and innovators gather in NYC to collaborate on cutting-edge machine learning applications.