Columbia University
Columbia University
Columbia University
Columbia University
Columbia University

Welcome

Welcome to the Department of Statistics! 

The department has expanded in recent years to reflect the vibrancy and diversity of our research and teaching portfolio. 

We have several regular seminar series during Fall and Spring semesters as well as other activities.
 
Please visit our Calendar of Events for details.
 


News

  • Howard Levene Professor of Statistics Richard A. Davis has been appointed editor-in-chief of Bernoulli for a three-year term


Special Focus

Special Focus

Each year we highlight a particular interdisciplinary research theme and organize a set of related teaching and research activities. For 2009-10
we focus on "Statistics and Neuroscience."
 
Please follow the link to participate.

 

 


Alumni Profile

Patrick Lowery

Patrick Lowery

M.A. in Statistics, 2005
American Express

Patrick is currently employed by American Express, where he is a Manager in an advanced statistical modeling and data mining team. The team is tasked with developing new and impactful analytical products that address the needs of its clients. Prior to joining American Express, Patrick was employed as a Senior Analyst at a division of Young & Rubicam. At Y&R Patrick was tasked with offering modeling and analytic services to clients. Patrick developed client relationships and grew revenue by offering innovative analytic solutions and data driven marketing strategies.

Steven Shin

Steven Shin

M.A. in Statistics, 2006
Tudor Investment Corp

After graduating from Columbia, Steven joined the investment management industry as a Risk Analyst for Soros Fund Management. He is now working in a similar position at Tudor Investment Corp. Steven's responsibilities include measuring and managing the market risk, credit risk and liquidity risk of the fund and reporting these risks to portfolio managers and senior management. He also monitors the financial markets in order to assess major changes that could impact his firm's equity, fixed income, currency, and commodity strategies. Steven stated, "I wanted to let you know that the Columbia MA Stat degree has been invaluable in helping me to obtain my current position. The analytical rigor of the Stat program has also provided me with the necessary skills to handle all the quantitative aspects of my work with confidence."

Aditya Vikram Prasad

Aditya Vikram Prasad

Master’s of Arts in Statistics degree with a concentration in Finance, February 2006
Assistant Finance Officer, United Nations, New York

Aditya's expertise in statistics was honed by an internship experience as a Statistical Analyst at the United Nations’ Peacekeeping Financing Division (PFD) in New York from November 2005 to March 2006.

Xu Xuan

Xu Xuan

M.A. in Statistics, 2007
Financial Analyst at the CAI Private Equity New York office

Xu (Vincent) Xuan is working as a Financial Analyst at the CAI Private Equity New York office. Since joining CAI part-time in 2007, he has been involved with a variety of financial and operational matters. His responsibilities include conducting valuation of portfolio companies, preparing quarterly financial statements and assisting the CFO on other operational issues. Prior to CAI, he served as a Valuation Actuary in Taikang Life, a major insurer in China. In addition to his Columbia degree, Xu holds a Bachelors Degree in Economics and Finance from Univerity of Science and Technology of China.

Roslyn Hui

Roslyn Hui

M.A. in Statistics, 2008
Actuarial Assistant at AEGIS Insurance

Roslyn Hui is an Actuarial Assistant at AEGIS Insurance in the Actuarial Division. The division provides support on pricing, reserving, reinsurance and investment. She focuses on loss reserve studies, simulation research and benchmark analysis. In addition to her M.A., Roslyn holds a B.A. in Mathematics from the State University of New York at Geneseo.

Deepa Chaudhary

Deepa Chaudhary

M.S. in Actuarial Science, 2008
Actuarial Analyst with Guy Carpenter

Currently, Deepa works as an Actuarial Analyst with Guy Carpenter (Reinsurance Brokerage Firm). She works in the Property and Casualty industry on various client projects such as treaty pricing, experience and exposure rating and generating biweekly Property Cat Pricing Index reports. Her prior work experience was with GE Capital International Services as Business Analyst in their Actuarial Division, where she worked with reinsurance pricing team on transactional pricing and market studies for various lines of business. Deepa has also completed a summer internship in Pension and Retirement consulting with Buck Consultants and with ICICI Bank Ltd in India. In addition to her degree from Columbia, Deepa completed her Masters in Economics from Delhi School of Economics, India (2003).

Zaur Nurtazin

Zaur Nurtazin

M.A. in Statistics, 2009
Morgan Stanley Global Wealth Management

Zaur works at Morgan Stanley Global Wealth Management as a Performance Analyst, a position he took in September 2007. His duties include custom performance reports, various return calculations, technical assistance to internal clients and some program development. Prior to Morgan Stanley, Zaur worked as an Associate Portfolio Manager at AllianceBernstein. He reports that he is using all the skills he acquired in the Columbia Statistics Program. Zaur's undergraduate degree is from Baruch College (CUNY) in Finance and Investments.

Yuliya Torosjan

Yuliya Torosjan

M.A. in Statistics, 2008
Data Analyst at Simulmedia

Yuliya Torosjan is currently a Data Analyst at Simulmedia, a New York City based media marketing company dedicated to improving the effectiveness of program promotion on television. Prior to completing her Columbia degree, Yuliya was involved in brain imaging research at the Neuroscience PET Laboratory at the Mount Sinai School of Medicine. Her main project was the analysis of neuronal tracts modeled from diffusion tensor data. While she worked at Mount Sinai, she co-authored seven publications in major scientific journals. Yuliya also received a B.S.E. in Computer Science and Engineering and a B.A. in Psychology from the University of Pennsylvania.

Jacob Weaver

Jacob Weaver

M.A. in Statistics, 2009
Corporate Performance Center at McKinsey & Co.

Jacob Weaver completed his M.A. in Statistics along with a B.A. in Comparative Literature & Society and Economics from Columbia College. He applied his statistics coursework as an intern at a European long/short equity hedge fund before joining the Corporate Performance Center at McKinsey & Company in September 2009.

Ning Tang

Ning Tang

M.A. in Statistics, 2009
Deutsche Bank as an Analyst, Technology & Operations Group

Ning Tang will soon join the New York office of Deutsche Bank as an analyst in the Technology & Operations Group. He will be working on prime brokerage systems. His responsibilities include compiler optimization, risk evaluation and various return calculations. Prior to joining Deutsche Bank, Ning worked at CGGVeritas as an application developer. He holds a master's degree in Computer Science from the University of Calgary in Canada and his undergraduate degree in Computer Science from Jilin University in China.

Jon-Paul Paolino

Jon-Paul Paolino

M.A. in Statistics, 2009
PhD Student at Teachers College at Columbia University

While enrolled in the M.A. Program, Paul worked at North Shore Long Island Jewish Hospital as a Statistician. His responsibilities included data management, design of experiments and analysis of medical data. Paul has been admitted to Teachers College at Columbia University to pursue a Ph.D. in Measurement, Evaluation and Applied Statistics.

Aussie Haryono

Aussie Haryono

M.A. in Statistics, May 2008
Associate, Boston Consulting Group

After graduation, Aussie joined The Boston Consulting Group (BCG) as an Associate in the Southeast Asia office system. At BCG, he has worked on various projects in the energy and telecommunication sectors on topics as broad as pricing strategy, consumer insight, and sales & distribution management.

Previously, Aussie worked at Argus Information & Advisory Services, a consultancy firm that specializes in financial service analytics. Aussie also holds a B.A. in Mathematics-Economics and Psychology from Wesleyan University (Class of 2006).

Brian Linde

Brian Linde

M.A. in Statistics 2010
Actuarial Assistant for AXA Equitable

Brian is in the MA of Statistics Program and will be graduating February 2010.  Following graduation, he will work as an Actuarial Assistant for AXA Equitable, where he interned this past summer.  Brian did his undergraduate work at Penn, where he graduated with a B.A. in History Magna Cum Laude.  In his free time, Brian loves to hike, and is currently chair of the Young Members Committee of the New York Chapter of the Appalachian Mountain Club.  He has hiked hut-to-hut in Austria, climbed Mt. Washington, and is looking forward to taking on Patagonia as his next challenge.

Murcy Huang

Murcy Huang

M.A. in Statistics, 2009
Quantitative Analyst, Financial Modeling at Arch Bay Capital, LLC

Murcy Huang obtained her M.A. in Statistics at Columbia University in 2009. Prior to attending Columbia, Murcy attended the University of Southern California, Marshall School of Business where she double majored with a B.S. in Business Finance and a B.A in Mathematics and Economics. She is currently applying statistical modeling as a Quantitative Analyst at Arch Bay Capital, a hedge fund focusing on distressed mortgage.

Feihan Lu

Feihan Lu

M.A. in Statistics and B.S. in Management from Fudan University, Shanghai, China
New York University Langone Medical Center

After graduation, Feihan will be working as a data analyst at New York University Langone Medical Center. Her responsibilities will include data management, model selection, visualization and other statistical analysis on psychiatry projects. While at Columbia University, Feihan worked as a statistical consultant at Primary Care Department, Pfizer. She holds a BS degree in Statistics and Management from Fudan University, Shanghai, China.

Yibing Kong

Yibing Kong

MA in Statistics, 2009
Deloitte Consulting as an analyst in the actuarial, risks & analytics service line

Yibing Kong obtained her master degree in statistics at Columbia University. She will join Deloitte Consulting as an analyst in the actuarial, risks & analytics service line. She will be using her quantitative skills to serve life and P&C insurance companies. Prior to joining Deloitte, Yibing did her internship at China Pacific Insurance Co. Ltd. Yibing holds a masters degree in Chemistry from the University of Michigan and a bachelor degree from Nanjing University.

Jeffrey Tang

Jeffrey Tang

M.A. Degree in Statistics
Actuarial position at the headquarter of the Tower Group Companies (NASDAQ: TWGP)

I have been offered an actuarial position at the headquarter of the Tower Group Companies (NASDAQ: TWGP), a property and casualty insurance firm, in the summer of 2009 after two semesters of my program. As an Actuarial Analyst, my responsibilities include Loss & LAE triangles analysis, reserving and enterprise risk management.  

Before joining the master program of Statistics at Columbia University, I obtained a bachelor degree in science majoring in Pure Mathematics and  Applied Mathematics from Sun Yat-sen University, China. I have passed three SOA (Society of Actuaries) exams.

 

Jackson Jean Baptiste

Jackson Jean Baptiste

M.A. in Statistics 2010
Department of Environmental Protection in NYC
Jackson Jean Baptiste, a native of Haiti, graduated in December 2009 with a M.A in Statistics. Before joining Columbia University for spring 2007, he graduated from Rensselaer Polytechnic Institute in 2002 with a Bachelor of Science in Electrical Engineering. Since then he has been working for the Department of Environmental Protection in NYC. He is putting in use his statistical background to tackle environmental studies for the City of New York. He fathered two sons and is currently living with his family in Montvale, NJ. He enjoys discussing politics and critical social issues pertinent to our time. One of his favorite book is "Blue State, red State & Rich State, Poor State" by Professor Andrew Gelman in which statistics are heavily used to decipher election poll data and better comprehend the dynamics in American politics.