About the Conference
The Applied Machine Learning Conference is a two-day, in-person event that brings together data scientists, AI engineers, computational researchers, and other technical leaders from across the country to share knowledge, learn from each other, and advance the fields of applied machine learning, AI, and scientific computing.
The first day of the conference will feature keynotes, standard conference talks, and plentiful networking opportunities, while day two will be filled with practical, 90-minute tutorials diving deeper into the latest tools and techniques used by modern data science and AI professionals.
Technical Talks
Learn from industry experts and academic researchers about the latest developments in data science and AI.
Practical Tutorials
Participate in hands-on sessions to build your skills and learn new tools and techniques.
Networking
Connect with fellow practitioners, share experiences, and build lasting professional relationships.
Dates and Venues
Friday, April 17: Keynotes, Technical Talks, and Networking
Violet Crown Cinema
200 West Main Street
Charlottesville, VA 22902
Saturday, April 18: Practical Tutorials and Lightning Talks
UVA School of Data Science
1919 Ivy Road
Charlottesville, VA 22904
Featured Speakers
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Skyler Clark-Hamel
PhD Candidate, UVA Darden School of Business
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Haley Green
ARiA, Research & Design Scientist
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Andrew Taylor
Professor of Emergency Medicine, University of Virginia
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Ben Cutter
Founding Staff Software Engineer, Hardshell
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Chirag Agarwal
University of Virginia, Assistant Professor
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Cynthia Ukawu
Machine Learning Engineer @ DARPA
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Sazan Khalid
Masters in Data Science at Georgetown
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Moody Hadi
Head of AI Strategy - EDO Collections Platforms
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Arul Bharathi
Senior Manager, Applied AI & ML, McAfee · Fraud, Churn, Pricing, and Personalization
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Adrian Palacios
Data Science Manager at General Atomics Intelligence
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Nidhi Gupta
PagerDuty - Applied Scientist
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Qianyi Shen
PhD student in Data Science at University of Virginia
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Shashwat Jain
Amazon, Sr. Software Development Engineer
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Steven Cocke
Chief Technology Officer & Lead Data Scientist - Doctorate in AI/ML
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Doug Turnbull
Retrieval Engineer
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Paul Liu
Professor at NC State University
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Anusha Natarajan
Data Analyst
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Sravani Lingam
Manager, Science
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Patrick Deziel
Distributed Systems Engineer - Machine Learning Specialist
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Terence Johnson
UVA-SDS, Assistant Professor of Data Science
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Matt Hawthorn
ML Engineer by day, math and statistics enthusiast by night
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Benjamin Bengfort
Open source hacker and data nerd, currently building AI governance tools with Rotational Labs
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John Elder
Founder, Elder Research (a MANTECH Company)
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Robert Robison
Senior Data Scientist, Elder Research
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Kunal Mukherjee
Postdoctoral Associate, Virginia Tech
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MacKenzye Leroy
Lead Data Scientist, S&P Global Market Intelligence
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Amit Arora
Principal Solutions Architect @AWS, Adjunct Professor Georgetown University
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Eric Nallon
Black Cow Labs
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Marc Ruggiano
Founding Director, UVA LaCross Institute for Ethical AI in Business
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Steve Rozen
Director of Bioinformatics and Research Computing, Duke University School of Medicine
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Natasha Foutz
McIntire School of Commerce, University of Virginia
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Charu Maheshwari
Product finance & strategy, Anthropic
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John Feminella
SVP Technology, Syndetic
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Aaron Baker
CapTech Data Science Manager
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Amir Feizpour
Founder / CEO @ Aggregate Intellect Inc.
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Nathan Todd
MS of Data Science @ UVA | AI Engineering @ Winning by Design
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Jill Heinze
Strategic Advisor, AI Product Development & Founder, Saddle-Stitch Consulting
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Krishna Rekapalli
Sr AI Engineer, IBM watsonx DataLabs
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Evzenie Coupkova
Purdue Math PhD
Thank You to Our Sponsors
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