
Poly Hanna Da Silva
Postdoctoral Research ScientistEmail: phd2120@columbia.edu
Program(s): Postdocs, Statistics Department
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Professor of Professional Practice in the Faculty of Professional Studies

Siddhartha R. Dalal
Professor of Professional Practice in the Faculty of Professional StudiesEmail: sd2803@columbia.edu
Program(s): Affiliated Faculty, Statistics Department
Siddhartha (Sid) Dalal is a Professor of Professional Practice at Columbia University. Prior to Columbia he was Chief Data Scientist and Sr. VP at AIG in charge of R&D that included creation and application of AI, Statistics and CS to Computer Vision, Natural Language Processing and Sensors/IOT for managing risks. He came to AIG from RAND Corporation where was the CTO. Sid also was VP of Research at Xerox overseeing their worldwide imaging and software services research, and Bell Labs and Bellcore/SAIC as Chief Scientist and Executive Director. Sid has an MBA and a Ph.D. from the University of Rochester with over 100 peer reviewed publications, patents and monographs covering the areas of risk analysis, medical informatics Bayesian statistics and economics, image processing and sensor networks. At Rand he was responsible for the creation of technology and spinning off of Praedicat, Inc., a casualty insurance analytics company. Sid is a member of US Army Science Board, an advisory board of 20 scientists appointed by Secretary of Defense to advise US Army on technology. He has received several awards including from IEEE, ASA and ASQ.
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Richard A. Davis
Howard Levene ProfessorOffice: Room 1026 SSW
Phone: 212-851-2137
Email: rdavis@stat.columbia.edu
Program(s): Full-Time Faculty, Senior Faculty, Statistics Department
Website: http://stat.columbia.edu/~rdavis/
Research Interests: Time series analysis, financial time series modeling, extreme value theory, spatial-temporal modeling with environmental applications, applied probability, and stochastic processes.
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Victor de la Pena
ProfessorOffice: Room 1027 SSW
Phone: 212-851-2144
Email: vp@stat.columbia.edu
Program(s): Full-Time Faculty, Senior Faculty, Statistics Department
Website: http://stat.columbia.edu/~vp/
Professor Victor de la Pena's paper ``From Decoupling and Self-Normalization to Machine Learning'' was invited and has been published in the ``Notices of the American Society''
which is distributed to over 30,000 members and member institutions worldwide.
Research Interests: Inequalities in Probability and Statistics, Sequential Analysis, Boundary Crossing and Change Point Problems, U-Statistics and Processes, Self-Normalized Processes, General Dependence Structures Including Martingales, Decoupling, Copulas. Managing Risk in Complex Systems, Banking, Actuarial Sciences, Earth Sciences, Climatology Global Warming.
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Victor Hugo De Souza Daniel
Ph.D. StudentEmail: vdd2111@columbia.edu
Program(s): Ph.D. Students, Statistics Department
Year Entered Ph.D. Program: Fall 2022
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Khanh Dinh
Postdoctoral Research ScientistEmail: knd2127@columbia.edu
Program(s): Postdocs, Statistics Department
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Regina Dolgoarshinnykh
Adjunct Assistant ProfessorOffice: Room 929 SSW
Email: regina@stat.columbia.edu
Program(s): Adjunct Faculty, Statistics Department
Website: http://www.stat.columbia.edu/~regina/
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Anthony Donoghue
Adjunct Assistant ProfessorOffice: Room 901A SSW
Email: ad2798@columbia.edu
Program(s): Adjunct Faculty, Statistics Department
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Praijat Dube
Adjunct Associate ProfessorEmail: pd2637@columbia.edu
Program(s): Adjunct Faculty, Statistics Department
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Assistant Professor of Statistics and Herbert Florence Irving Assistant Professor of Cancer Data Research

Bianca Dumitrascu
Assistant Professor of Statistics and Herbert Florence Irving Assistant Professor of Cancer Data ResearchEmail: bmd2151@columbia.edu
Program(s): Junior Faculty, Tenure Track, Statistics Department
Website: https://computational-morphogenomics-group.github.io/
Research interests: statistical machine learning for genomics: single-cell genomics, spatial transcriptomics, live-imaging
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