Associate Professor of the Practice, Computer Science; Coordinator, Software Development
- Title Associate Professor of the Practice, Computer Science; Coordinator, Software Development
- Office 1010 Commonwealth Avenue, 3rd Floor, 327
- Email firstname.lastname@example.org
- Education PhD, Columbia University
BA, Harvard University
Dr. Eugene Pinsky first joined the faculty of Boston University in 1986, after earning his doctorate at Columbia University. He was an assistant professor of computer science in the College of Arts & Sciences until 1993, when he left BU and gained extensive industry experience designing computational methods to analyze and monitor market risk at multiple trading and investment firms, including Bright Trading, F-Squared Investments, and Harvard Management Company. He has also applied his expertise in data mining, predictive analytics, and machine learning to video advertising at Tremor Video. Dr. Pinsky’s areas of expertise include pattern recognition, clustering, regression, prediction, factor models, support vector machines, and other machine learning algorithms and methods for data analysis; multi-dimensional statistical data analysis of large time-series data; data mining and predictive analytics to uncover patterns, correlations, and trends; algorithmic trading, pricing models, financial modeling, risk, and portfolio analysis; Python, R, C/C++, VBA, Weka, MATLAB, and MySQL; Big Data technologies and visualization (Hadoop/Hive, AWS, Tableau); design and implementation of software tools for quantitative analysis; and professional curriculum and course development.
- MET CS 521 – Information Structures with Python
- MET CS 677 – Data Science with Python
Recent Research Reports
Pinsky, E., and R. Sunitsky. “Some Results from The Microstructure Analysis of the FX Limit Order Book.” White paper, Trading Cross Connects, March 2010.
Pinsky, E., and R. Sunitsky. “High Frequency Trading and Market Inefficiencies: A Statistical Physics Viewpoint.” White paper, Trading Cross Connects, October 2009.
Conway, A., E. Pinsky, and S. Tridandapani. “Efficient Decomposition Methods for the Analysis of Multi-facility Blocking Models.” Journal of the ACM 41, no. 4 (1994): 648–675.
Pinsky, E., P. Stirpe. “Performance Analysis of an Asynchronous Multirate Crossabr with Bursty Traffic.” Computer Communication Review 22, no. 4 (October 1992): 150–160.
Pinsky, E., A. Conway, and W. Liu. “Blocking Formulae for the Engset Model.” IEEE Transactions on Communications 42, no. 6 (1994): 2213–2214.
Pinsky, E., and A. Conway. “Mean-Value Analysis of Multifacility Blocking Models with State-Dependent Arrivals.” Journal of Performance Evaluation vol. 24 (1996): 303–309.
“A Simple Approximation for the Erlang Loss Function.” Journal of Performance Evaluation15, no. 3 (September 1992): 155–161.
Pinsky, E., and A. Conway. “Computational Algorithms for Blocking Probabilities in Circuit-Switched Networks.” Annals of Operations Research 35, no. 1 (February 1992): 31–41.
Pinsky, E., and A. Conway. “Exact Computation of Blocking Probabilities in State-Dependent Multi-Facility Blocking Models.” Proceedings of the IFIP WG 7.3 International Conference on Performance of Distributed Systems and Integrated Communication Networks. North-Holland Publishing Co., Amsterdam, The Netherlands (1992): 383–392.
Pinsky, E., and Y. Yemini. “Asymptotic Analysis of Some Packet Radio Systems.” IEEE Journal on Selected Areas in Communications 4, no. 6 (September 1986): 938–946.
Pinsky, E. and A. Conway. “Exact Computation of Blocking Probabilities in State-Dependent Multi-Facility Blocking Models.” In Performance Evaluation of Distributed Systems and Integrated Communication Networks, edited by T. Hasegawa, et al. (North-Holland Publishing Co., Amsterdam, The Netherlands, 1992): 383–393.
Pinsky, E. and W. Wang. “Application of the Partition Function in Revenue-Oriented Performance Analysis for Network Management.” In Network Management and Control, edited by A. Kerschenbaum, et al. (Plenum Publishing, New York, 1990): 339–349.
Pinsky, E. and Y. Yemini. “The Canonical Approximation in Performance Analysis.” In Computer Networking and Performance Evaluation, edited by T. Hasegawa (North-Holland Publishing Co., Amsterdam, The Netherlands, 1986): 3.3.1–3.3.13.
Pinsky, E., M. Sidi, and Y. Yemini, “The Canonical Approximation in the Performance Analysis of Packet Radio Networks.” In Current Issues in Distributed Computing and Communications, edited by Y.Yemini (Computer Science Press, 1986): 140–162.
Pinsky, E., and Y. Yemini. “A Statistical Mechanics of Some Interconnected Networks.” In Proceedings of IFIP Performance ’84, Paris, France (North-Holland Publishing Co., Amsterdam, The Netherlands, 1984): 147–158.
Conway, A., and E. Pinsky. “Stochastic Modeling and Analysis of Wavelength Division Multiplexing (WDM) Lightwave Networks.” In Proceedings of the IEEE Infocom ’94, Toronto, Canada (June 1994): 560–568.
Pinsky, E., and P. Stirpe. “Performance Analysis of High-Speed Asynchronous Circuit- Switching Communication Networks.” In Proceedings of the 4th IEEE Workshop onComputer Aided Design, Analysis and Modeling of Communication Networks and Links, Quebec, Canada (September 1992).
Conway, A., and E. Pinsky. “A Decomposition Algorithm for the Exact Analysis of Circuit-Switched Networks.” In Proceedings of the IEEE Infocom ’92, Florence, Italy (May 1992): 996–1003.
Pinsky, E., and P. Stirpe. “Modeling and Analysis of Hot Spots in an Asynchronous NxN Crossabr Switch.” In Proceedings of the 1991 Annual Conference on Parallel Processing, Penn State University (1991): I.546–I.549.
Pinsky, E., and P. Stirpe. “Performance Analysis of an Asynchronous Multi-Rate Crossbar Network.” In Proceedings of the 1991 International Symposium on Communications, Taiwan (1991).
Pinsky, E., and P. Stirpe. “The Performance Analysis of an Asynchronous Non-Blocking Network Switch.” In Proceedings of the Singapore International Conference on Networks, Singapore (September 1991): 7–12.
Hsu, M., E. Pinsky, and W. Wang. “Modeling Hot Spots in Database Systems.” Extended Abstract in Proceedings of the 10th ACM SIGACT-SGMOD-SIGART Symposium on Principles of Database Systems, Denver, Colorado (1991).
Conway, A., and E. Pinsky. “Performance Analysis of Sharing Policies for Broadband Networks.” In Proceedings of the 7th International Teletraffic Congress, Morristown, New Jersey (October 1990): 11.4.1–11.4.8.
Ho, K. Y., E. Pinsky, and W. Wang. “On Improving the Efficiency of Cellular Communication Systems.” Extended abstract in Proceedings of the ISMM International Conference on Industrial, Vehicular and Space Applications of Microcomputers, New York (1990).
Pinsky, E., and W. Wang. “A Revenue-Oriented Performance Analysis of Resource Sharing in Distributed Systems.” Extended abstract in Proceedings of the ISMM InternationalConference on Parallel and Distributed Computing and Systems, New York (1990).
Binney, C., E. Pinsky, P. Stirpe, and W. Wang. “An Overview of Ensemble: A Software Tool for revenue-Oriented Performance Analysis of Large-Scale Circuit-Switched Networks.” In Proceedings of the 3rd IEEE Internation Workshop on Computer-Aided Modeling, Analysis and Design of Communication Links and Networks, Torino, Italy (September 1990).
Litvak, E., and E. Pinsky. “Efficient Computational Methods for Estimating Some Performance Measures in Large-Scale Communication Systems.” In Proceedings of the ORSA Conference on Operations Research in Telecommunications, Boca Raton, Florida (March 1990): 8A.1–8A.3
Ho, K. Y., E. Pinsky, and W. Wang. “Performance Analysis fo Some Channel Access Schemes in Cellular Communication Systems.” In the Proceedings of the IEEE Inforocom, San Francisco, California (June 1990): 603–610.
Pinsky, E., and W. Wang. “Computing Some Performance Bounds in Cellular Mobile Communication Systems.” In Proceedings of the International Conference on ComputerCommunications, New Dehli, India (December 1990): PAM 3.1–.3.6.
Binney, C., E. Pinsky, and W. Wang. “Design with Ensemble: A Tool for Performance Analysis of Circuit-Switched Networks.” In Proceedings of the SBT/IEEE InternationalTelecommunication Symposium, Rio de Janeiro, Brazil (September 1990): 14.1.1–14.1.15.
“Applying Statistical Physics to Performance Analysis of Large-Scale Computing Systems.” Extended abstract in Proceedings of the ACM Computer Science Conference, Washington, D.C. (1990).
What advice do you have for new students?
“Data science and machine learning require an understanding of many interdisciplinary concepts, based on classical results from mathematics and statistics. I would encourage students to study these fundamental sciences and look for solutions that are simple and amenable to intuitive interpretations. As data scientists, you should have an open mind. Negative results are just as important as positive results.”