Tripods 2021 Careers in Data Science Lecture Series

Organizer:
Alex Iosevich, Professor of Mathematics (iosevich@gmail.com)


The purpose of this lecture series is to bring together undergraduate and graduate STEM students with former STEM majors who are now working in Data Science. Each lecture will begin with a 20 minute presentation by a former STEM major, followed by a question and answer session designed to give the participants a clear idea what it would be like to work in the data science field, and what skills they would need to acquire to successfully enter that industry. Some speakers are Ph.Ds and former research mathematicians. Others received undergraduate degrees in STEM fields and went into industry directly. The talks will take place on Mondays at 8 p.m. EST.


Monday, September 20, 2021

Speaker: Scott Kirila,  (Parker Avery) (video)

Photo of the speaker

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 (under the direction of Steven Gonek) 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.


Monday, September 27, 2021

Speaker: Erin Terwilleger Mullen, (Antuit) (video)

Photo of the speaker

Time: 8.00 p.m. EST

Zoom: 573 239 4086

Title: From harmonic analysis to sales analytics 

Abstract: Dr. Erin Terwilleger Mullen, a current analyst at Antuit, and a former University of Missouri Ph.D. in harmonic analysis (under the direction of Loukas Grafakos) is going to talk about her data science work at Prognos and Antuit, and how her mathematical background gave her an edge in the data science industry.


Monday, October 11, 2021

Speaker: Sanja Hukovic, London Stock Exchange (video)

Picture of the speaker

Time: 6.00 p.m. EST

Zoom: 573 239 4086

Title: Careers in model risk

Abstract: Sanja Hukovic is the Head of the Head of Model Risk Management at the London Stock Exchange. Her model validation career started in UBS Quantitative Risk Control, where she was first the product head for the securitised product in New York, and then Deputy Head and Product Head for EQ, FZ and Client Portfolio teams in London and Zurich. Sanja then led the UBS quantitative risk standard team, which part of risk methodology group focusing on Risk Based PnL, and quantitative risk measures. She returned to model validation to cover UBS Treasury, Operational Risk, and AML models. Sanja worked for three and a half years as JP Morgan head of Quality Assurance for Model Risk Governance and Review and JP Morgan Chase and Co.


Monday, October 18, 2021

Speaker: Kevin Lin (video)

Picture of the speaker

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. 



Monday, November 15, 2021

Speaker: Gregory Jones (video)

Some useful bibliography (.png)

photo of the speaker

Time: 8.00 p.m. EST

Zoom: 573 239 4086

Title: Quant Investing, Then & Now

Abstract: Take a stroll back to the days of macro hedge fund mania and its aftermath.  I will review some of the work areas of my career as a buy-side quant working at an institutional mutual & hedge fund manager in Boston.  The focus will actually be on the domain knowledge and skill sets required for the job, and I will give some tips and pointers for the job market and for “surthriving” the corporate world.  I will touch on some taxonomy of strategies in the space, and a handful of statistical and ML techniques which are appropriate.