University of Connecticut University of UC Title Fallback Connecticut

– Alumnus Sujit K. Ghosh (PhD, 1996) elected President of the International Indian Statistical Association

Professor Sujit K. Ghosh, NC State University – who received his Ph.D. in 1996 at the University of Connecticut – has being elected President of the International Indian Statistical Association.

– Alumnus Sujit K. Ghosh (PhD, 1996) Wins 2016 Hind Rattan Award

A department alumnus, Professor Sujit K. Ghosh of North Carolina State University, has being selected for the prestigious 2016 Hind Rattan Award given by the NRI Welfare Society of India. Professor Ghosh graduated in 1996.

The Hind Rattan (Hindi phrase translated to English as “Jewel of India”) is one of the highest Indian diasporic awards granted annually to non-resident Indian citizens (NRIs) by the NRI Welfare Society of India, an organization under the umbrella of the Government of India. The award is granted at the Society’s annual congress, held in conjunction with national Pravasi Bharatiya Divas celebrations. The award ceremony is attended by senior members of the Government of India and of the Supreme Court of India.

– Doctoral Students Awarded for Teaching Excellence

The Provost and the Vice Provost for Academic Affairs have awarded PhD students Dan Liu, Matthew Linder, Gyuhyeong Goh, Paul McLaughlin and Bo Zhao for excellence in teaching.

– Prof. Mukhopadhyay to Give Special Lecture, Oct 15

Please join us for a special presentation (1 of 2) given by Professor Nitis Mukhopadhyay:

Time and Place: Thursday October 15, 11:00am-11:50am at AUST 313

Speaker: Professor Nitis Mukhopadhyay

Title: Interdisciplinary Nature of Research in Statistical Science: Touring History

Abstract: We hear a constant buzz about the importance of collaborative or interdisciplinary research. An uninitiated individual may mistakenly interpret that such a buzz is a new found phenomenon. But, this is not a new phenomenon. Past 100+ years of history of statistics shows clearly that collaborative or interdisciplinary research has always been a huge part of statistical science. Our statistical forefathers were deeply involved in collaborative or interdisciplinary research. But while doing so they were also strong to create a solid logical foundation for today’s statistical science.

– Travelers Insurance Presentation Thursday 10/8

Please join us for a Special Student Seminar with Invited Speakers from Travelers Insurance:

Time and Place:
October 8, 11:00am-11:50am at AUST 313
Refreshments will be served immediately following the seminar in AUST 326.

Speakers: Christopher Parks and Tiran Chen

Title: Creating Insights and Competitive Advantages at Travelers Insurance through Data and Analytics

Travelers Insurance is one of the largest P/C insurance companies in the U.S. The insurance industry is very competitive – what will separate the ones that shrink compared to the ones that thrive will be the quality of their data and how their analysts use it to guide profitable business decisions. At Travelers, business leaders are increasing their reliance on the Actuarial & Analytics community. In this discussion we will cover how Travelers fits into the insurance industry, several detailed examples of how we use advanced analytics throughout the company, and how students can learn about employment opportunities.


Christopher Parks is a 2nd Vice President of Analytics & Research at Travelers Insurance. He has worked at the company for 13 years in a variety of research roles including Insurance Pricing, Direct Marketing, Distribution, and Demand Modeling. He has an MBA from UConn, and undergraduate degrees in Math and Economics from Connecticut College.

Tiran Chen is a Senior Consultant of Analytics & Research at Travelers Insurance. He has worked in claim research for about 2 years. He graduated from UCONN Mathematics Department in 2013 with a master degree in Applied Financial Mathematics. Prior to that, he had a master degree in statistics from UCONN Statistics Department.

– Ved Deshpande and M. Henry Linder Win FTC DetectaRobo Analytics Challenge

PhD students Ved Deshpande and M. Henry Linder have won the Federal Trade Commission’s DetectaRobo analytic challenge, held as part of the National Day of Civic Hacking in June. Ved and Henry used statistical / machine learning techniques to build a model that predicts whether a phone call originated from an automated calling system.

– Statistics Computing Cluster Presentation : Thu Oct 1st

Please join us for a special seminar covering usage of the computing cluster.

Time and Place: October 1, 11am-11:50am at AUST 313 with refreshments immediately afterwards in AUST 326.

Speaker:  Alex Barnes

Abstract:  The computer cluster available to the faculty and students of the statistics department is maintained by the physics lab of Dr. Richard Jones. This talk will provide an overview of the cluster structure and explain the process of obtaining and accessing an account. An example of utilizing the cluster will also be presented, including instructions on job submission, file storage space, monitoring jobs, and file transfers.

– Industy Visit: Pooja Mookim & Maureen Dowdle of Liberty Mutual


Join us for a seminar and lunch with Pooja Mookim & Maureen Dowdle of  Liberty Mutual


Seminar: September 17, 11:00am-11:50am at AUST 313

Lunch: Lunch will be served immediately after the seminar in AUST 326.  If you are interested in joining Pooja and Maureen for lunch, you must sign-up with Tracy Burke by Tuesday, September 15th, 2015 by 12:00PM.  Please sign up early, as space is limited!

Topic: Meet Pooja Mookim, Consultant in Product Research and Maureen Dowdle, Senior Recruiter as they lead a discussion on advanced analytics initiatives within Liberty Mutual that help drive business decision making in general, with a specific focus on insurance products within the employee benefits space.  Ms. Mookim will describe business problems that Liberty Mutual faces and  given an example where statistical methods were used to solve this problem and impact the business. Additional discussion will focus on different analytical functions and applications within Liberty Mutual.

Speakers: Dr. Mookim joined Liberty Mutual in 2014 as a Senior Research Analyst. In her current role she is responsible for identifying analytic opportunities within her organization, build proof of concept models under the guidance of senior leadership and provide analytic support within the claims organization, product management and sales and distribution teams. Key techniques include research and implementation of propensity score matching and its application to the business, bootstrapping techniques, survival analysis and discrete choice modelling. Throughout her career Ms. Mookim has worked on several applied economics projects such as outcomes research within pharmaceutical industry, developing multi-modal health-related quality of life computerized assessments for asthma and maternal and child health. She also serves as adjunct faculty in the Department of Economics, Boston University. Ms. Mookim holds a Ph.D. in economics from Boston University and Masters in Economics from Delhi University.

– Prof. Jun Yan Awarded Grant to Study Detection and Attribution of Changes in Climate Extremes

Professor Jun Yan has received a 3 year National Science Foundation grant for “Fingerprint Methods for Detection and Attribution of Changes in Climate Extremes with Spatial Estimating Equations”. This grant was reviewed by the Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences, a NSF program for proposals that confront and embrace the host of mathematical and statistical challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other.

– Prof. Kun Chen Receives Funding for Research in Structured Low Rank Modeling.

Professor Kun Chen received funding, from the Mathematics and Physical Sciences-Collaboration Grants for Mathematicians Grant Program of the Simons Foundation, for the project entitled, “Structured Low Rank Modeling for Multivariate Statistical Learning“.