Overview/Bio

This is the webpage of Michael Schuckers, Rutherford Professor of Statistics at St. Lawrence University in Canton, NY. I am also the co-founder of Statistical Sports Consulting, LLC. An applied statistician, I have received funding from the US National Science Foundation, the US Department of Defense, and the US Department of Homeland Security. I’ve also done sports analytics work for a major league baseball team, a National Hockey League team, an NHL agent, an OHL franchise and a fantasy football organization among others. In 2013-14, I was a Fulbright Scholar via the Fulbright-VTT Grant in Science, Technology and Innovation in Espoo, Finland. Along with Shirley Mills at Carleton University, I am the co-organizer of the Ottawa Hockey Analytics Conference. I’ve also been the recipient of the American Statistical Association’s Section on Statistics in Sports Annual Significant Contributor Award.

My full CV can be found here

Education

Ph.D., Statistics, Iowa State University, 1999

A. M., Statisics, University of Michigan, 1994

B. A., Mathematics, Pennsylvania State University, 1992

Books and Book Chapters

Books

Coulombe, GC, O’Neill, MB, Schuckers, ME,(eds), A Handbook for Directors of Quantitative and Mathematical Support Centers, University of South Florida Scholar Commons (2016) Free to Download.

Schuckers, ME Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation, Springer (2010).

Book Chapters

Sylvain, J & Schuckers ME, “Can We Predict Injuries? The Probability and Severity of Man Games Lost Due to Injury in an NHL Season” in Rob Vollman’s Hockey Abstract 2017 (2017).

Schuckers, ME, “Statistical Evaluation of Hockey Goaltending” in Handbook of Statistical Methods for Design and Analysis in Sports Chapman & Hall/CRC Handbooks of Modern Statistical Methods (2016).

Schuckers, ME (2016), “Case Study: Peterson Quantitative Resource Center at St. Lawrence University”, http://dx.doi.org/10.5038/9780977674435.ch31 in G. Coulombe, M. O’Neill, M. Schuckers (Eds.) A Handbook for Directors of Quantitative and Mathematical Support Centers, Neck Quill Press, [http://scholarcommons.usf.edu/qmasc_handbook].

Dunwell RM, Coulombe G, Schuckers ME(2016), “Reporting Assessment Findings to External Audiences”, http://dx.doi.org/10.5038/9780977674435.ch17 in G. Coulombe, M. O’Neill, M. Schuckers (Eds.) A Handbook for Directors of Quantitative and Mathematical Support Centers, Neck Quill Press, [http://scholarcommons.usf.edu/qmasc_handbook].

Schuckers, ME, “Test Sample and Size” in Encyclopedia of Biometrics, Li, SZ and Elliot SJ (eds), (2009).

Peer Reviewed Publications

Lopez, ML, Schuckers ME “Predicting Coin Flips: Using Resampling And Hierarchical Models To Help Untangle The NHL’s Shootout”, Journal of Sports Sciences (2016).

Schuckers, ME, Argeris S “You Can Beat the ‘Market:’ Estimating the Return on Investment for NHL Team Scouting” Journal of Sports Analytics (2015).

Humphrey-Dixon, EL, Sharp, R, Schuckers, M, Lock R “Comparative genome analysis suggests characteristics of yeast inverted repeats that are important for transcriptional activity”, Genome (2011).

Schuckers, ME “An Alternative to the NFL Draft Pick Value Chart Based upon Player Performance”, Journal of Quantitative Analysis in Sports (2011).

Lewicke, A, Corwin, W, Schuckers, M., Xueyan, X, Neuman, M, Schuckers, S “Analysis of Heart Rate Variability for Predicting Cardiorespiratory Events in Infants”, Biomedical Signal Processing and Control (2011).

Schuckers, ME “A parametric correlation framework for the statistical evaluation and estimation of biometric-based classification performance in a single environment,” IEEE Transactions on Information Forensics and Security 4 (2009), 231-241.

Adler, A, Schuckers, ME, “Human versus Automatic Face Recognition,” IEEE Transactions on Systems, Man and Cybernetics – Part B, 37 (2007), 1248-1255.

Barthelmess, EL, Phillips, ML, Schuckers, ME, “The value of bioelectrical analysis vs condition indices in predicting body fat stores in North American porcupines (Erithizon dorsatum)”, Canadian Journal of Zoology, 84 (2006), 1712-1720.

Colbert, J., Schuckers, ME, Fekedulegn, D, Rentch, J, MacSiurtain, M, and Gottschalk, K. “Individual-tree based basal area growth parameter estimates for four models,” Ecological Modeling, 174 (2004), 115-126.

Schuckers, ME “Using the Beta-binomial distribution to assess performance of a biometric identification device”, International Journal of Image and Graphics, 3 (2003), 523-529.

Colbert, J.J., Schuckers, ME and Fekedulegn, D. “Comparing models for growth and management of forest tracts”. In Amaro, A., D. Reed and P. Soares, eds., Modelling Forest Systems. CABI Publishing, Wallingford, UK (2003).

Fekedulegn, BD, Colbert, JJ, Hicks, RR, Jr., and Schuckers, ME. 2002. Coping with multicollinearity: an example on application of principal components regression in dendroecology. Research Paper NE-721. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station.

Colbert, J.J., Schuckers, ME, and Fekedulegn, D. 2002. “Comparing basal area growth models, consistency of parameters, and accuracy of prediction”. In Rizzoli, Andrea E., and Anthony J. Jakeman, eds. Integrated assessment and decision support: Proceedings of the first biennial meeting of the International Environmental Modeling and Software Society. IEMSs 2002 – 24-27 June 2002, University of Lugano, Switzerland. International Environmental Modeling and Software Society Vol. 3: 462-467.

Schuckers, ME, “Some statistical aspects of biometric identification device performance”, Stats Magazine, 3-9, Winter 2001.

Gabrosek, JG, Schuckers, ME, “Breaking the Code – A graphical exploration using bar charts”, in the STAR Library online journal, Fall 2001.

Refereed Proceedings

Schuckers, ME, “Draft by Numbers: Using Data and Analytics to Improve National Hockey League (NHL) Player Selection”, poster, Proceedings of the 2016 MIT Sloan Sports Analytics Conference, 2016.

Schuckers, M, Curro, J “Total Hockey Rating (THoR): A comprehensive statistical rating of National Hockey League forwards and defensemen based upon all on-ice events”, in Proceedings of the 2013 MIT Sloan Sports Analytics Conference, March 2013 (2nd Place in Research Paper Competition).

Schuckers, ME, Brozowski, LC “Referee Analytics: An Analysis of Penalty Rates by National Hockey League Officials, poster, Proceedings of the 2012 MIT Sloan Sports Analytics Conference, March 2012.

Schuckers, ME “DIGR: A Defense Independent Rating of NHL Goaltenders using Spatially Smoothed Save Percentage Maps” Proceedings of the MIT Sloan Sports Analytics Conference, March 2011.

Dietz, Z, Schuckers, ME “A Central Limit Theorem for a Single False Match Rate” in Proceedings of Biometric Technology for Human Identification VII, SPIE Conference 7667, Orlando, FL (2010).

Schuckers, ME, “Theoretical Statistical Correlation For Biometric Identification Performance” in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (2008).

Schuckers, ME, Minev, YD, Adler A, “Curvewise DET confidence regions and pointwise EER confidence intervals using radial sweep methodology”, Proceedings of the 2nd International Conference on Biometrics 2007, Seoul, Korea (2007). Awarded 3rd place best paper at this conference.

Schuckers, ME, Sheldon, EM, Hartson, HA “When enough is enough: Early stopping of biometrics error rate testing”, Proceedings of the 2007 Auto ID Conference in Alghero, Italy (2007).

Schuckers, ME, “Statistical Inference for Template Aging” in Biometric Technology for Human Identification III, (2006) Proceedings of SPIE.

Ma, Y, Schuckers, ME, Cukic, B “Guidelines for Appropriate Use of Simulated Data for Bio-Authentication Research” in Fourth IEEE Workshop On Automatic Identification Advanced Technologies, Proceedings of AutoID, 2005.

Schuckers, ME, Lopez, NL, “Template Aging: A Study of the NIST Biometric Score Set Release 1” in Proceedings of the Biometrics Symposium 66-67, 2005.

Adler, A, Schuckers, ME “Calculation of a composite DET curve”, in Proceedings of Audio- and Video-Based Biometric Person Authentication: 5th International Conference, Lecture Notes in Computer Science, Kanade et al ( eds.) Springer Verlag GmbH, 3546: 860-868, 2005

Atkinson, TJ and Schuckers, ME, “Approximate Confidence Intervals for Estimation of Matching Error Rates of Biometric Identification Devices ” in Biometric Authentication: ECCV 2004 International Workshop, Lecture Notes in Computer Science, vol. 3087, Proceedings of the BioAW, Vol. 3087 Davide Maltoni and Anil K. Jain (Eds.), 3087: 184-194, 2004

Schuckers, ME, Hawley, AM, Mramba, TN, Livingstone, KA, and Knickerbocker, CJ, “A comparison of statistical methods for evaluating matching performance of a biometric identification device- a preliminary report”, in Biometric Technology For Human Identification Proceedings of SPIE, Anil K. Jain and Nalini K. Ratha (eds.) , 5404: 144-155.

Schuckers, ME, “Interval estimates when no failures are observed”, IEEE AutoID Conference Proceedings, 2002: 37-41.

Caswell Schuckers, SA, Xueyan, X, Schuckers, ME, Jenkins, JM, “Ventricular arrhymia detection using time-domain template algorithms”, Proceedings of the IEEE Northeast Bioengineering Conference, 1998.

Other Papers

Schuckers, ME “Review of ‘Analytics Methods in Sports’ by TA Severini”, Australian and New Zealand Journal of Statistics, 2017.

Seppa, T., Schuckers ME, Rovito, M “Text Mining of Scouting Reports as a Novel Data Source for Improving NHL Draft Analytics”, 2017.

Schuckers, ME and Knickerbocker, CJ, Documentation for Program for Rate Estimation and Statistical Summaries , self-published, 2004 [http://it.stlawu.edu/~msch/biometrics/PRESS.html].

Schuckers, ME , “Estimation and sample size calculations for correlated binary error rates of biometric identification rates ”, In 2003 Proceedings of the American Statistical Association: Biometrics Section , American Statistical Association, Alexandria, VA.

Schuckers, ME, A Statistics 101 Coursepack, self-published 133 page coursepack at West Virginia University. First used, Fall 2000.

Schuckers, ME, Stern, HS. “A hierarchical Bayesian approach to a polytomous response from a cluster sample”, In 1998 Proceedings of the American Statistical Association Section on Survey Research Methods, American Statistical Association, Alexandria, VA

Talks and Presentations

  • preceding a talk indicates undergraduate co-author

*Cascadia Symposium on Statistics in Sports, Design-weighted regression adjusted plus minus, with Seongwon Im, Brian Macdonald, Jesse McNulty, Vancouver, BC, August 2018

Vancouver Hockey Analytics Conference, Lessons, Observations and Mistakes from 10 years of Analyzing ‘Found Hockey Data’, Vancouver, BC, March 2018 (Invited Keynote).

Great Lakes Analytics in Sports Conference, Using Statistical Methods to Improve NHL Entry Draft Player Selection, Stevens Point, WI, July 2017.

Supporting Students in Quantitative Disciplines, Running at QMaSC, Franklin & Marshall College, Lancaster, PA, May 2017.

Ottawa Hockey Analytics Conference, Draft by Numbers, Ottawa, ON, May 2017.

St. Lawrence University Faculty Café, What the Puck? The statistical analysis of hockey, Canton, NY, March 2017.

Clarkson University Undergraduate Bio-Math Seminar, Functional Discrimination of Multivariate Longitudinal Metabolomic Profiles, Potsdam, NY, November 2016.

Babson Hockey Analytics Conference, A Look at the Statistical Evaluation of Hockey Goalies, Boston, MA, October 2016 (Invited).

*Cascadia Symposium on Statistics in Sports, Play Selection (Run/Pass) Efficiency in NCAA Division 1 College Football, poster led by Taylor Pellerin, Vancouver, BC, September 2016

Rochester Institute of Technology Hockey Analytics Conference, The Value of a Zone Start, Rochester, NY, September 2016.

Hudson River Undergraduate Mathematics Conference, A Sports Analytics Consulting Course : Part I, Burlington, VT, April 2016.

Panthers Analytics WorkShop (PAWS16), Hockey Analytics 101, Sunrise, FL, February 2016 and HockEy Analytics in Research and Teaching (HEART) (Invited Panelist).

Ottawa Hockey Analytics Conference, An New Look at an Old xG, Ottawa, ON, January 2016.

Joint Statistical Meetings, Kaggle as a Course, Seattle, WA, August 2015 (Invited).

St. Michael’s College Mathematics Colloquium, Peek at Statistical Analysis of the NHL, Wisnooski, VT, March 2015.

Ottawa Hockey Analytics Conference, Drunks, Lampposts and Hockey Analytics, Ottawa, ON, February 2015.

Joint Mathematics Meetings, A Handbook for Directors of Quantitative and Mathematical Support Centers poster with G. Coulombe, M. O’Neill, San Antonio, TX, January 2015.

Statistics in Sports Colloquium, A Look at Sports Hockey Analytics, Carleton University, Ottawa, ON, November 2014.

Desautels Sports Industry Club, A Draft of Hockey Analytics McGill University, Montreal, PQ, November 2014.

Alberta Hockey Analytics Conference, Adjusting for Rink Effects in the NHL, (Keynote), with Brian Macdonald, Calgary, AB, September 2014.

Royal Statistical Society, Rink Effects in the National Hockey League, Sheffield, UK, September 2014.

Joint Statistical Meetings, Statistics on Ice: Advances in Methods for the Analysis of Ice Hockey — Invited Panel Rink Effects in the National Hockey League, Boston, MA, August 2014.

Joint Mathematics Meetings, Quantitative and Mathematics Support Centers Workshop to Develop Handbook of Best Practices poster with G. Coulombe, M. O’Neill, M. Nuffer, Baltimore, MD, January 2014.

Aalto University, Department of Mathematics and Systems Analysis Seminar, Five things Statistics/Analytics Tells Us About the NHL, Aalto University, Otaniemi, Finland, November 2013.

National Numeracy Network Meeting, Quantitative and Mathematics Support Centers: Update from the National Science Foundation Workshop poster with G. Coulombe, M. O’Neill, M. Nuffer, San Diego, CA, October 2013.

American Voices Seminar, A New York State of Mine, Turku, Finland, October 2013.

Joint Statistical Meetings What Statistics/Analytics Tells Us About Ice Hockey. Montreal, PQ, August 2013.

*MIT Sloan Sports Analytics Conference Boston, MA. Total Hockey Rating (THoR) Research Paper Competition Finalist (2nd place) with Jim Curro, March 2013.

Desautels Sports Industry Conference (Invited Talk) Hockey Analytics McGill University, Montreal, PQ, October 2012.

Joint Statistical Meetings Effect of Aging on National Hockey League Goalie Performance San Diego, CA August 2012.

International Biometrics Performance Conference A Proposed Method for Scaling of False Positive Identification Rates Using Extreme Value Theory, Gaithersburg, MD, March 2012.

*MIT Sloan Sports Analytics Conference Boston, MA. Referee Analytics: An Analysis of Penalty Rates by National Hockey League Officials Research Paper Competition Finalist Poster with Lauren Brozowski, March 2012.

Biometrics Consortium Conference/ IEEE International Conference on Biometrics, Identity and Security (BIdS), A Proposed Method for Scaling of Identification False Match Rates Using Extreme Value Theory, Tampa, FL, September 2011.

*Joint Statistical Meetings An Analysis of Penalties Called in the NHL 2008-9 and 2009-10 Regular Seasons, Miami, FL with Lauren Brozowski, August 2011.

Joint Statistical Meetings An Analysis of the NHL Draft, Miami, FL August 2011.

International Indian Statistical Association Conference, Raleigh, NC , An evaluation of NFL team drafting performance (1991-2001), April 2011.

Q-Club, St. Lawrence University, Canton, NY, DIGR: A Defense Independent Goalie Rating, April 2011.

Northeast Consortium for Quantitative Literacy Meeting, Panel discussion: Math Support Centers: Common Theme, organizer and panelist.

MIT Sloan Sports Analytics Conference, Boston, MA, DIGR: A Defense Independent Goalie Rating based upon Spatial Probability Maps, Research Paper Competition Finalist Speaker, March 2011.

Science Café, Potsdam, NY, Lies, Damned Lies and …, November 2010.

Northern California Symposium on Statistics and Operations Research in Sports, Menlo Park, CA, An Empirical NFL Draft Value Chart, October 2010.

Northern California Symposium on Statistics and Operations Research in Sports, Menlo Park, CA, Shootout or Crapshoot: An Analysis of the NHL Shootout after Five Years, October 2010.

Joint Statistical Meetings, Vancouver, BC, A Spatial Analysis of National Hockey League Shot Data, August 2010. Section on Statistics in Sports 2010 Best Poster Award

Biometric Technology for Human Identification VII, A Central Limit Theorem for a Single False Match Rate, Orlando, FL, April 2010.

Institute for Defense and Government Advancement’s 3rd Biometrics for National Security and Defense Conference, Workshop on Biometrics Performance Evaluation, Tyson’s Corner, VA, March 2010.

International Conference on Biometrics Performance (ICBP), NIST, Gaithersburg, MD, Distribution-Free Statistical Methods for Biometric Performance Evaluation, March 2010.

Meeting of the American National Standards Institute(ANSI), Biometrics Performance and Testing Task Group, M1.5, New York, NY Statistical Methods for Biometrics Performance, October 2009.

Biometrics Consortium Conferenence/ IEEE International Conference on Biometrics, Identity and Security (BIdS), Tampa, FL Statistical Methods for FNMR, FMR and beyond, (Best of Recent Work), September 2009.

Joint Statistical Meetings, Washington, DC, Nonparametric Comparison of Multiple ROCs Using Polar Coordinates, August 2009.

*Joint Statistical Meetings, Washington, DC, Beyond +/-: A Rating System to Compare NHL Players, with D. Lock, August 2009 (Invited).

*Joint Mathematical Meetings, Washington, DC, Statistical Comparison of False Non-Match Rates for Biometric Identification Systems Poster with A. Pendergrass, January 2009.

Joint Mathematical Meetings, Washington, DC, SiSSYS: A Senior Capstone Course Bases on Statistics in Sports with R. Lock and T. Atkinson, January 2009.

Joint Statistical Meetings, Denver, CO, SiSSYS: Reflections from a Capstone Course Using Sports Data with R. Lock and T. Atkinson, August 2008.

Joint Statistical Meetings, Denver, CO, SiSSYS: Student Work from a Capstone Course Using Sports Data - Part I Poster with R. Lock and T. Atkinson Statistics, August 2008. Section on Statistics in Sports 2008 Best Poster Award

Joint Statistical Meetings, Denver, CO, SiSSYS: Student Work from a Capstone Course Using Sports Data - Part II Poster with T. Atkinson and R. Lock, August 2008. Section on Statistics in Sports 2008 Best Poster Award

*Joint Mathematical Meetings, Washington, DC, Statistical Comparison of False Non-Match Rates for Biometric Identification Systems Poster with A. Pendergrass, January 2009.

Joint Mathematical Meetings, Washington, DC, SiSSYS: A Senior Capstone Course Bases on Statistics in Sports with R. Lock and T. Atkinson, January 2009.

Joint Statistical Meetings, Denver, CO, SiSSYS: Reflections from a Capstone Course Using Sports Data with R. Lock and T. Atkinson, August 2008.

Joint Statistical Meetings, Denver, CO, SiSSYS: Student Work from a Capstone Course Using Sports Data - Part I Poster with R. Lock and T. Atkinson Statistics, August 2008. Section on Statistics in Sports 2008 Best Poster Award

Joint Statistical Meetings, Denver, CO, SiSSYS: Student Work from a Capstone Course Using Sports Data - Part II Poster with T. Atkinson and R. Lock, August 2008. Section on Statistics in Sports 2008 Best Poster Award

2008 IEEE International Conference on Accoustics, Speech and Signal Processing, Las Vegas, NV, Theoretical Statistical Correlation For Biometric Identification Performance, April 2008 (Invited).

Williams College, Williamstown, MA Are you who you say you are? Evaluating the performance of biometric identification systems, March 2008 (Invited).

*2nd International Conference on Biometrics, Seoul, Korea, Curvewise DET confidence regions and pointwise EER confidence intervals using radial sweep methodology August 2007. 3rd Place Award Best Paper

*Joint Statistical Meetings, Salt Lake City, Utah, ROC confidence regions using radial sweep methodology, August 2007.

*Auto ID Conference 2007, Alghero, Italy, When enough is enough: Early stopping of biometrics error rate testing, May 2007.

Biometrics Consortium Conferenence, Washington, DC, National Biometrics Security Project Biometrics Testing Workshop, September 2006 (Invited Panelist).

Interagency Biometrics Conference, Washington, DC, A Statistical (Research) Program in Biometrics, Washington, DC, April 2006 (Invited).

Biometric Technology for Human Identification III, Orlando, FL, Statistical Inference for Template Aging, April 2006.

Interagency Biometrics Conference, Washington, DC, A Statistical (Research) Program in Biometrics, Washington, DC, April 2006 (Invited).

Biometric Technology for Human Identification III, Orlando, FL, Statistical Inference for Template Aging, April 2006.

Auto-ID 2005 Conference, Guidelines for Appropriate Use of Simulated Data for Bio-Authentication Research with Y. Ma and B. Cukic, October 2005.

*Biometrics Consortium/ Biometrics Symposium, Washington, DC, A Comparison of Statistical Methods For Evaluating Matching Performance of a Biometric Identification Device - A Final Report, poster with Anne Hawley, Nona Mramba, Katie Livingstone, Collen Knickerbocker and Travis J. Atkinson, September 2004.

*Biometrics Consortium/ Biometrics Symposium, Washington, DC, An Approximate Wald Confidence Interval for Error Rate Estimation, poster with Travis J. Atkinson, September 2004.

Joint Statistical Meetings, Toronto, ON, Approximate Confidence Intervals for Correlated Binary Error Rates, August 2004.

*Biometric Authentication Workshop, Prague, Czech Republic, Approximate Confidence Intervals for Estimation of Matching Error Rates of Biometric Identification Devices, poster with Travis Atkinson, May 2004.

Biometric Technology For Human Identification conference, Orlando, FL, A comparison of statistical methods for evaluating matching performance of a biometric identification device- a preliminary report, March 2004.

Biometrics Consortium/Biometric Symposium, Washington, DC, Sample Size Calculations for Biometric Identification Devices, September 2003.

*Biometrics Consortium/Biometric Symposium, Washington, DC, A Comparison of Statistical Methodology for Evaluating Biometric Identification Devices – Preliminary Report, poster with Katie Livingstone, Anne Hawley, Nona Mramba, September 2003.

*Biometrics Consortium/Biometric Symposium, Washington, DC, Software for Statistical Error Rate Estimation, poster with Nona Mramba, Anne Hawley, Katie Livingstone, September 2003.

CyberTrust 2005: NSF grantee conference, Irvine, CA, ITR: Biometrics – Performance, Security and Social Impact poster with L. Hornak, S. Schuckers, B. Cukic, A. Jain, L. Nelson and A. Ross.

*Biometrics Consortium/ Biometrics Symposium, Washington, DC, Template Aging: A Study of the NIST Biometric Score Set Release 1, with N. Lopez, September 2005.

Joint Statistical Meetings, Minneapolis, MN, An Introduction to Some Statistical Issues inBiometric Authentication, August 2005.

*Biometrics Consortium/Biometric Symposium, Washington, DC, Software for Statistical Error Rate Estimation, poster with Nona Mramba, Anne Hawley, Katie Livingstone, September 2003.

Joint Statistical Meetings, San Francisco, CA, Estimating Correlated Binary Error Rates for Biometric Identification Devices, August 2003

St. Lawrence University, Statistics Colloquium, Canton, NY, Estimating matching performance for biometric identification devices, March 2003

IEEE AutoID Conference, Tarrytown, NY Interval estimates when no failures are observed, March 2002.

Joint Statistical Meetings, Atlanta, GA, Breaking the Code – A hands-on approach to teaching bar charts, August 2001.

CardTech/SecurTech Conference, International Biometric Industry Association Luncheon speaker, Las Vegas, NV, Biometric Education and Research at WVU, May 2001.

Center for Identification Technology Research planning meeting, Morgantown, WV. An Error Estimation Study, April 2001.

Joint Statistical Meetings, Indianapolis, IN, A Bayesian comparison of Beta-binomial proportions, August 2000.

Center for Identification Technology Research planning meeting, Morgantown, WV. A Template Aging Study, April 2001.

Dickinson College, Carlisle, PA, Some Statistical Aspects of the Performance of Biometric Identification Devices, March 2001.

West Virginia University, Morgantown, WV, Markov chains, Monte Carlo techniques, and Markov chain Monte Carlo methods, October 1999.

West Virginia University, Morgantown, WV, Basic emacs/xemacs guide, September 1999.

West Virginia University Eberly College of Arts and Sciences Research Fair, Morgantown, WV, Hierarchical Statistical Methods, September 1999.

Joint Statistical Meetings, Baltimore, MD, A Hierarchical Bayesian Model for Analyzing Polychotomous Data from Multi-stage Cluster Samples August 1999.

New Researchers Conference, Baltimore, MD, Analysis of Polychotomous Data from a Multi-stage Cluster Sample using Bayesian Hierarchical Models, August 1999.

Iowa State University, Ames, IA, Bayesian Analysis of hierarchical models for polychotomous data from a multi-stage cluster sample, August 1999.

West Virginia University, Morgantown, WV, Splus: An introduction, April 1999.

Model Selection, Empirical Bayes Symposium, Lincoln, NE, A Hierarchical Bayesian Model for Polychotomous Data from a Two Stage Cluster Sample, March 1999.

Joint Statistical Meetings, Dallas, TX, A Hierarchical Bayesian Approach to a Polytomous Response from a Cluster Sample, August 1998.

Consulting

I have done a little bit of consulting on statistical matters and data analysis. I’ve worked for the United States Department of Defense, and the United States Department of Homeland Security in the realm of bioauthentication. More recently I’ve been working with sports organizations including a Major League Baseball team, a National Hockey League (NHL) team, an Ontario Hockey League team, an NHL agent, a Fantasy Football organization and Saatchi & Saatchi for whom I did the calculations in the following ad which ran during the 2018 Super Bowl.

More information of my consulting work in sports can be found at Statistical Sports Consulting, LLC