Upcoming events
We are pleased to announce Bridging the Divide: Machine Learning in Medicine, a Cornell intercampus symposium to be held in person in NYC at Weill Cornell Medicine June 6-7, 2022. Please see the attached flyer for details. Please register today – the cost is free but spots are limited. Registration is currently only open to Cornell-affiliated individuals, but others may join the waitlist. Please email me with any questions!
See See for more information.
(The deadline has been extended until March 14)
One of the most beautiful ideas generated by modern science over the past few decades is the concept of neural networks (neural nets), a computational framework that imitates the workings of the human brain. These networks have been used to understand the outcome of scientific experiments, make weather predictions and political forecasts, and even aid in mathematical research. Through the Tripods NSF REU and STEM for All summer research programs, students will take a comprehensive approach to neural nets, focusing on both the theoretical and applied aspects of this beautiful, emerging discipline. Students will learn the basic theory of neural nets in the mornings, followed by intensive programming sessions in the afternoons.
We are looking for participants who are equally excited about the pure and applied aspects of the neural – students who are just as willing to delve into the mathematical intricacies as they are to write complex code to implement the resulting ideas. This program is committed to recruiting participants who are women and members of underrepresented groups.
In addition to research, the program will also have an outreach component. We will expose a small group of middle school students from inner city Rochester schools to mathematical explorations using Python. Participants in the program will be asked to assist in this wonderful and rewarding process.
See for more information and for how to apply.
Past events
Please join the Goergen Institute for Data Science NEXT MONDAY at 8 PM ET:
Tripods 2022 Careers in Data Science Lecture Series: Ian Alevy
Join the Goergen Institute for Data Science for the Tripods 2022 Careers in Data Science Lecture Series. The series brings undergraduate and graduate STEM students together with STEM PhDs who are working in Data Science. Each lecture will begin with a 20 minute presentation by a STEM PhD, followed by a question and answer session designed to give participants insight into working in the data science field, and the skills they need to successfully enter the industry.
2/7 Abstract: Ian Alevy earned his PhD in Computational and Applied Mathematics from Brown University in 2018. Since completing his postdoc at the University of Rochester, Ian has worked as an algorithm developer and software engineer for defense contractor SciTec. As a contractor for the federal government, SciTec develops tools to protect the nation from evolving threats. Due to the complexity of modern threats, the firm relies on mathematical algorithms and AI systems to respond to new and unexpected scenarios. In his presentation, Ian will talk about his company and the many applications of math to missile defense and software engineering.
Virtual Event, Monday, February 7, 2022 8:00pm to 9:00pm
See for more information and for how to apply.
TRIPODS NSF REU-STEM FOR ALL 2022
NEURAL NETWORKS, JULY 18-AUGUST 12, 2022
One of the most beautiful ideas generated by modern science in the past few decades is the concept of neural nets, a computational framework that imitates the workings of the human brain. These networks have been used to understand the outcome of scientific experiments, make weather prediction and political forecasts and even aid mathematical research. In this program, we are going to take a comprehensive approach to neural nets, with focus on both the theoretical and applied aspects of this beautiful emerging discipline. To this end, we are going to develop the basic theory of neural nets in the mornings, followed by intensive programming sessions in the afternoons. We are looking for participants who are equally excited about the pure and applied aspects of data science- those who are just as willing to delve into the mathematical intricacies as they are to write complex code to implement the resulting ideas.
The program is particularly focused on recruiting participants who are women and members of underrepresented groups.
In addition to the research aspects, the program will also have an outreach component. A small group of middle school students from the inner city Rochester schools will be exposed to mathematical explorations using python. The participants in the program will be asked to assist in this wonderful and rewarding process.
See for more information and for how to apply.
Tripods 2021 Careers in Data Science Lecture Series
Join the Goergen Institute for Data Science for the Tripods 2021 Careers in Data Science Lecture Series. The series brings undergraduate and graduate STEM students together with STEM PhDs who are working in Data Science. Each lecture will begin with a 20 minute presentation by a STEM PhD, followed by a question and answer session designed to give participants insight into working in the data science field, and the skills they need to successfully enter the industry.
The talks will take place on Mondays at 8 p.m. EST.
Monday, October 18, 2021
Speaker: Kevin Lin
Time: 6.00 p.m. EST
Zoom: 573 239 4086
Title: A random walk down Silicon Valley
Abstract: Dr. Kevin Lin will talk about his winding path from a Ph.D. in probability theory at UR, under the direction of Carl Mueller, through sinking like the Titanic at statistics contests, making friends at data science boot camps, three positions, two office openings, and 15 times the coworkers in 3 years, to where he sits today as an ML engineering manager at Upstart.
Please visit the events webpage for more information.
Monday, October 11, 2021
Time: 6:00pm to 7:00pm
Speaker: Sanja Hukovic
10/11 Abstract: Sanja Hukovic ’03 MBA, PhD received her doctorate in mathematics from Brown University in 1998 and her MBA from the University of Rochester in 2003. She started her career in model validation, working for UBS Quantitative Risk Control, where she was first the product head for securitized product in New York, before becoming Deputy Head and Product Head for the EQ, FZ and Client Portfolio teams in London and Zurich. Sanja then led the UBS quantitative risk standard team, part of risk methodology group, which focused on Risk Based PnL and quantitative risk measures. She returned to model validation to cover UBS Treasury, Operational Risk, and AML models. Sanja then worked for three and a half years as JP Morgan Chase and Company’s Head of Quality Assurance for Model Risk Governance and Review. She is currently the Head of Model Risk Management at the London Stock Exchange.
Monday, September 27, 2021
Time: 8:00pm to 9:00pm
Speaker: Sanja Hukovic
10/4 Abstract: Sanja Hukovic ’03 MBA, PhD received her doctorate in mathematics from Brown University in 1998 and her MBA from the University of Rochester in 2003. She started her career in model validation, working for UBS Quantitative Risk Control, where she was first the product head for securitized product in New York, before becoming Deputy Head and Product Head for the EQ, FZ and Client Portfolio teams in London and Zurich. Sanja then led the UBS quantitative risk standard team, part of risk methodology group, which focused on Risk Based PnL and quantitative risk measures. She returned to model validation to cover UBS Treasury, Operational Risk, and AML models. Sanja then worked for three and a half years as JP Morgan Chase and Company’s Head of Quality Assurance for Model Risk Governance and Review. She is currently the Head of Model Risk Management at the London Stock Exchange.
Speaker: Dr. Erin Terwilleger Mullen, PhD received her doctorate from the University of Missouri in mathematics, specializing in harmonic analysis, under the direction of Loukas Grafakos. She worked at healthcare analytics platform Prognos, before working at Antuit.ai.
Time: 8:00pm to 9:00pm
Abstract: Join us to hear Dr. Terwilleger Mullen discuss and how her mathematical background gave her an edge in the data science industry.
Monday, September 20, 2021
Speaker: Scott Kirila (Parker Avery)
Time: 8.00 p.m. EST
Zoom: 573 239 4086
Title: A journey from the Riemann zeta function to sales analytics
Abstract: Dr. Scott Kirila, a current analyst at Parker Avery, and a former UR PhD recipient in analytic number theory is going to talk about his current job in data analytics, and how his research mathematics skills give him an edge in this highly competitive and rapidly growing industry.