Keynote Speaker
History of, Practical Use for, Implications and Power of AI
Dr. Chris Mattmann
Principal Data Scientist and Chief Technology & Innovation Officer, NASA Jet Propulsion Laboratory
Tutorials
NVIDIA Deep Learning Institute — Fundamentals of Deep Learning
Derek Riley, Ph.D.
Professor, MSOE
Full Day Workshop (8AM–5PM)
Building a Knowledgebase Chatbot — Tutorial
Tyler Falkner
Data Scientist, Xorbix
Half-Day Workshop (8AM–12PM)
Data Preparation for Machine Learning
Yuqing Su
Solutions Architect, Databricks
Half-Day Workshop (8AM–12PM)
Machine Learning Model Development
Jacob Hummel
Solutions Architect, Databricks
Half-Day Workshop (1–5PM)
Session 1: Large Language Models
LLMs and Chatbots: The New Frontier?
Katie Panciera, Ph.D.
Assistant Professor, MSOE
LLMs Under the Hood
Sean Jones
Assistant Professor, MSOE
Introduction to Explainable AI and its Application to LLMs
Kevin Najimi, CFA
Causeway Capital Management
Session 1: Business
The Business Value of AI — Beyond Science Experiments
Gregg Mattek
Head of AI Specialists — US Central, Canada, and Startups, Google
Navigating IP in the Data Frontier
Anne Dorn
VP of Legal Affairs & Managing Counsel, Direct Supply
MSOE x Industry: Data Science Success
John Bukowy, Ph.D.
Associate Professor, MSOE
Session 2: MLOps
MLOps: Principles & Technologies for Delivering Actionable Insights
David Cieslak, Ph.D.
Chief Data Scientist, Aunalytics
Building a Knowledgebase Chatbot — Lecture
Tyler Falkner
Data Scientist, Xorbix
Creating Scalable ML Infrastructure for Reducing Denial Rates & Improving Reimbursements in Healthcare
David Johnson
Director of Data Science & Analytics, Sift Healthcare
Session 2: Business
Industry 4.0: Driving Business Value through Data
Aravind Kumar
Digital Automation Consulting Manager, Belden
How To Use Big Data from Public Sources to Help Your Business Reach More Customers
Teresa Esser
Managing Director, Silicon Pastures Angel Investment Network
MSOE AI-Club: Student Research and Industry Engagement
Ben Paulson
President, MSOE AI-Club (MAIC)
Session 3: Data-Driven Healthcare
The Regulatory Landscape & Challenges of AI/ML in the Medical Device Industry
Katelyn Rowley
GE Healthcare
Session 3: Infrastructure
How to Build a Full-stack Machine Learning System
Eddie Mattia
Data Scientist, Outerbounds
Streamlining Data Processing: A Leftward Shift
Yemalin Godonou
Solution Engineer and Architect, Confluent