(Overview Coming Soon!) 

Speakers

Lauren Wengerd, Ohio State University, Depart of Rehabilitation Science

Dave Friedenberg, Battelle 

Moderator

Nancy McMillan, Battelle

Abstract

Coming Soon!

About the Speakers

Dr. Lauren Wengerd's educational and career experiences have led her to the intersection of healthcare, research, and business. She recently completed a PhD in Health and Rehabilitation Sciences with a graduate minor in neuroscience at The Ohio State University. Her research primarily focuses on identifying new and effective interventions to maximize function and independence for adults with neurological conditions. She is passionate about identifying not only effective but also cost-effective approaches to healthcare. She regularly incorporates cost-effectiveness analyses into clinical study design to bridge the gap between research and clinical care. Dr. Wengerd holds a master’s degree in occupational therapy and a bachelor’s degree in business administration/marketing, both of which continue to serve her well in research and clinical consulting roles. She is actively pursuing a career that will cultivate her knowledge and passion for healthcare, research, and business to ultimately enhance the quality of life and functional independence of individuals with neurological injuries.

Dr. David Friedenberg is a Principal - Data Science and Neurotechnology and the Team Lead for Machine Learning/AI in the Advanced Analytics group at Battelle. He's the PI on several neurotechnology efforts developing new AI-powered technologies to help improve the lives of people living with motor impairments due to neurological injuries like spinal cord injuries and stroke. An experienced data scientist with consulting experience across several disciplines he is passionate about developing AI/ML-driven solutions to challenging problems for the betterment of humanity.

About the Moderator

Nancy McMillan, Data Science Research Leader, Health Research & Analytics Business Line, Battelle (Bio sketch coming soon!)

About the NISS Collaborative Data Science CoLab

The NISS-CANSSI Collaborative Data Science initiative that the National Institute of Statistical Sciences (NISS) in collaboration with the Canadian Statistical Sciences Institute (CANSSI) brings together experts from various fields to tackle complex data challenges through interdisciplinary teamwork and innovative methodologies.

Goals of the Initiative

The goal is to foster progress in:

• Developing new ideas for experimental and observational data-driven learning and discovery that address key questions at the cutting edge of science and scientific deduction;
• Quantifying and summarizing uncertainty in data-driven theories, as well as complex Data Science models, algorithms, and workflows; and
• Establishing new practices for scientific reproducibility and replicability through Data Science.

All Webinars in Series

Changing Climate, Changing Data: A journey of statisticians and climate scientists

Date: Thursday, March 20, 2025 at 1-2pm ET

Speakers: Claudie Beaulieu, Assistant Professor of Ocean Sciences, University of California, Santa Cruz and Rebecca Killick, Professor of Statistics, School of Mathematical Sciences, Lancaster University; Moderator: Emily Casleton, Statistical Sciences Group, Los Alamos National Laboratory (LANL)

Astronomy & Cosmic Emulation