Azure Machine Learning: Leveraging the Cloud to Accelerate Machine Learning Workflows
Sharat Chikkerur leads a team of data scientists and engineers working on natural language processing and computer vision. He has multiple publications and patents in the area of biometrics, deep learning, computer vision & NLP. He has a PhD from MIT. He is also an alumni of UB (M.S, 2005).
Quantum Computing in Practice
Grant Salton is a quantum research scientist in the Amazon Quantum Solutions Lab, and a visiting researcher at the Institute for Quantum Information and Matter (IQIM) at Caltech. Prior to joining Amazon, Grant was a postdoctoral scholar in theoretical physics at the IQIM, and he received his PhD from Stanford University. Grant’s research interests are in quantum error correction, applications of near-term quantum devices, quantum algorithms, and quantum gravity.
What to do with a Near-Term Quantum Computer
Alán Aspuru-Guzik’s research lies at the interface of computer science with chemistry and physics. He works in the integration of robotics, machine learning and high-throughput quantum chemistry for the development of materials acceleration platforms. These “self-driving laboratories¨ promise to accelerate the rate of scientific discovery, with applications to clean energy and optoelectronic materials.
Alán also develops quantum computer algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. He is jointly appointed as a Professor of Chemistry and Computer Science at the University of Toronto. Alán is a faculty member of the Vector Institute for Artificial Intelligence. Previously, Alán was a full professor at Harvard University where he started his career in 2006.
Alán is currently the Canada 150 Research Chair in Quantum Chemistry as well as a CIFAR AI Chair at the Vector Institute. Amongst other awards, Alán is a recipient of the Google Focused Award in Quantum Computing, the MIT Technology Review 35 under 35, and the Sloan and Camille and Henry Dreyfus Fellowships. Alán is a fellow of the American Association of the Advancement of Science and the American Physical Society. He is a co-founder of Zapata Computing and Kebotix, two early-stage ventures in quantum computing and self-driving laboratories respectively.
Introduction to Agent Based Models (with Sara Metcalf)
Andrew Crooks brings over 10 years of experience as a computational social scientist (using computational techniques including agent-based modeling to understand and solve social science problems). His research has been funded by government agencies and the private sector. He is also a lead author of “Agent-based Modelling and Geographical Information Systems: A Practical Primer” which explains how to design and build ABM and how to link the models to Geographical Information Systems. Further information about Andrews work can be found at www.gisagents.org.
Introduction to Agent Based Models (with Andrew Crooks)
Dr. Metcalf is a geography professor who uses systems science approaches in her urban health and sustainability research to identify and implement feedback mechanisms with dynamic simulation models. Her educational background includes a PhD in geography as well as an MBA, MS/BS degrees in chemical engineering, and a BS in biochemistry. Dr. Metcalf has worked with agent-based models since her doctoral studies on urban networks, incorporating insights from system dynamics that she learned as a master’s student at MIT as a means of mathematically and visually representing social structures underlying problematic behavior over time. Using both agent-based modeling and system dynamics, Dr. Metcalf has applied systems modeling in a range of research projects to examine ways of promoting societal benefits such as health equity, food justice, and resilience.
Building Large Scale Listing Recommender Systems
Sriganesh (Sri-G) Madhvanathis is responsible for Recommendations and Advertising at eBay. His team is responsible for generating recommendations at scale and serving them to eBay’s 200M buyers via eBay’s website and native applications.Prior to eBay, he led applied research teams at Conduent Labs, Xerox PARC, HP Labs and IBM Research. He has a PhD in CSE from SUNY Buffalo and a BTech from IIT Bombay. He is an ACM Distinguished Scientist and a Senior Member of IEEE. His research interests are primarily in the areas of Data Science, AI and Human Computer Interaction.
Opioid Epidemic and Public Health Issues Associated with It
Dr. Donald S. Burke is a Distinguished University Professor of Health Science and Policy and Epidemiology, and former Dean, at the Graduate School of Public Health, University of Pittsburgh. He served 23 years as an active duty officer at the Walter Reed Army Institute of Research and nine years as a professor at the Johns Hopkins Bloomberg School of Public Health. He joined the University of Pittsburgh in 2006 where as Dean he founded the Public Health Dynamics Laboratory, an academic team that develops computational models and simulations of epidemics and uses these simulations to evaluate prevention and control strategies. In 2018 he received the John Snow Award from the American Public Health Association and the Royal Society for Public Health.
Intel Distribution for Python and AI Toolkit
Rachel has a background in geospatial analysis and data science, who enables customers to best optimize their workflows with data analytics and machine learning algorithms from Intel®. She holds a bachelor’s degree in Computer Science and Data Science from the College of William & Mary.
3:00 - 4:30 pm
Data in Sports (with Helen Drew and Gerry Meehan)
Jason Nightingale was promoted to assistant director of scouting in June 2020, adding to his role as director of analytics. Nightingale first joined the organization in the analytics department in 2013-14 and was promoted to the role of director of analytics before the 2018-19 season. The 2020-21 campaign will be his eighth season as a member of the Sabres front office.
Before joining the Sabres, Nightingale earned a joint Ph.D. in Mathematics and Aerospace and Mechanical Engineering from the University of Notre Dame in 2012, where he also served as a volunteer assistant coach for the men’s hockey team for two seasons. Nightingale also spent three seasons as a coach and recruiter with Culver Military Academy, an elite prep school hockey program, as well as a coach/evaluator at several USA Hockey national camps.
As a player, Nightingale was a four-year letter winner at Lake Superior State while earning his undergraduate degree in Mechanical Engineering. He also served as an alternate captain for the Des Moines Buccaneers (USHL) in 1997-98, helping lead the Buccaneers to a regular-season title, a Clark Cup appearance and a USA Hockey National Championship.
3:00 -4:30 pm
Data in Sports (with Gerry Meehan and Jason Nightingale)
Helen A. “Nellie” Drew is an expert in sports law. She has studied professional and amateur sports issues ranging from NCAA compliance and Title IX matters to facility construction, discipline of professional athletes, collective bargaining and franchise issues. Drew teaches a variety of courses that touch on topics such as drug testing in professional sports, and professional player contract negotiation and arbitration. Drew is especially interested in the evolving research and litigation concerning concussions in both amateur and professional sports.
Data in Sports ( with Helen Drew and Jason Nightingale)
Gerry Meehan is a former National Hockey League player and executive. Meehan contributed to six NHL teams over a 14-year professional playing career. After retiring from the ice, Meehan earned his JD from the UB Law School, and went on to a successful practice in corporate and sports law. He returned to the Sabres in the front office, ultimately serving both as Associate Counsel, General Manager and Executive Vice-President, before returning to law and starting a consulting practice. In recent years, his professional practice has included managing and representing successful start-ups engaged in internet-based delivery of sports statistics/informatics, NHL franchise asset valuations and electronic medical record management for professional sports leagues.
Event Start Date: March 30, 2021