Sam Steingold


Applied Mathematics:
mathematical modeling using information theory, graph/social network theory, text analytics, differential equations, geometry, Bayesian analysis, stochastic processes, regression analysis, neural networks, support vector machines.
Software Development:
designed, developed, lead and coordinated design and development of numerous software packages, some of which are available on the Internet (see Attachment and Employment history).
Operating Systems:
UNIX (Linux, Mac OS X, Solaris); Windows.
Programming Languages:
Python, R; C/C++/Java; Scala, OCaml; Lisp/Scheme; Perl; Pig, Hive, SQL, SAS; Matlab, Maple, Mathematica, Maxima; Pascal; Fortran; Modula-2; Basic.
Distributed Data Processing:
Hadoop, Spark.
Research and Presentation:
conducted independent and joint research, wrote reports, and gave talks on the results.
Financial Markets:
experience with trading systems, their design, testing, and evaluating; familiar with various derivatives pricing methods, such as Black-Scholes analysis, risk-neutral valuation, binomial trees; hedging strategies.
built and managed a Data Science team of local and remote permanent members and contractors; mentored junior staff (modeling and software development); managed half a dozen contributors to a large Open Source project.



Achievements: The list of publications, conferences and software attached.

References: Will be furnished upon request.

Languages: English (fluent), Russian (native), French (reading), German (reading).

Personal: Citizen of the United States.

Attachment to the resume.



  1. S. Steingold, D. Crosta, B. Leung, J. Arfa "Monotonically Increasing Multi-Interval Continuous Calibration" submitted to CIKM 2016
  2. S. Steingold, M. Laclavík "An Information Theoretic Metric for Multi-Class Categorization", MLConf 2016 Seattle.
  3. M. Laclavík, S. Steingold and M. Ciglan ``Detecting Brands in User Search Queries'' WSDM QRUMS Workshop, 2016.
  4. M. Laclavík, M. Ciglan, A. Dorman, S. Dlugolinsky, S. Steingold, M. Šeleng. ``A Search Based Approach to Entity Recognition: Magnetic and IISAS team at ERD Challenge'' ERD2014, Gold Coast, Queensland, Australia, July 2014.
  5. S. Steingold, C. Fournelle, J.V. White. ``Clustering and Threat Detection''. Presented at 2005 AAAI Spring Symposium on AI Technologies for Homeland Security, Stanford University, March, 2005.
  6. J.V. White, S. Steingold, C. Fournelle. ``Performance Metrics for Group-Detection Algorithms'' (pdf) Presented at Interface 2004, Baltimore, MD, May 29, 2004.
  7. J.V. White, G. Colby, S. Steingold. ``Threat-Detection Performance On Wet-Run Data.'' EAGLE miniTIE workshop, August 2, 2004.
  8. Sam Steingold, Richard Wherry, Gregory Piatetsky-Shapiro ``Measuring Real-Time Predictive Models'' [full text: PostScript, PDF] [poster: PostScript, PDF] ICDM2001
  9. Gregory Piatetsky-Shapiro, Sam Steingold ``Measuring Lift Quality in Database Marketing'', SIGKDD Explorations, Vol. 2:2, (2000), 81-86
  10. Peter Petersen, Semion Shteingold, Guofang Wei, ``Comparison Geometry with Integral Curvature Bounds'', GAFA 7 (1997) 1011-1030.
  11. Semion Shteingold, ``Covering Radii and Paving Diameters of Alexandrov Spaces'', J. of Geometric Analysis, 8 (1999), no. 4, 613-627.
  12. Semion Shteingold, ``Volume comparison for Alexandrov spaces'', Indiana U. Math. J., 43 (1994), no. 4, 1349-1357.
  13. Semion Shteingold, ``One Solution of the Pentagon Problem'', J. of Math. Behavior, 13 (1994), 299-302.
  14. Semion Shteingold, ``Smoothness of Generalized Solutions of Boundary Value Problem for Functional-Differential Equations'', Uspehi Mat. Nauk - (in Russian), 46 (1991), no. 3(279), 203-204.

Conferences attended:


independent software development:

some of these packages are available on the internet.