Dr. Ivan Ramler joined the faculty at St. Lawrence in winter of 2009 after finishing his PhD in Statistics from Iowa State University. His dissertation work, under the guidance of Dr. Ranjan Maitra, involved improving cluster analysis methods for noisy data and for data constrained to lie on the surface of a multi-dimensional sphere.
Since joining St. Lawrence, he has been active in collaborative research with colleagues at places such as St. Lawrence University, Clarkson University, the Los Alamos National Laboratory, and the Natural Capital Project Group (a partner of Stanford University). His current interests (and projects) involve applications to the environment and ecology, as well as in esports analytics (i.e., statistical analyses of competitive video games) - where he regularly collabiorates with Dr. Choong-Soo Lee (Computer Science) and has mentored numerous summer research projects. Dr. Ramler regularly teaches many of St. Lawrence's Statistics courses (e.g., Stat 113, Stat 234, and Stat 213) and is regularly mentors students through the LAS Scholars Program, CSTEP & McNair Programs, and the SLU Fellowship program.
Outside of academics, Dr. Ramler enjoys spending time not discussing statistics with his wife (SLU's Dr. Jessica Chapman), playing volleyball, and playing video games (which he claims is to better understand his esports research!).
Ph.D. in Statistics (2008)
M.S. in Statistics (2004)
B.A. in Mathematics and Statistics (2002)
- Data Science and Machine Learning
- Esports Analytics
- Applied Statistics for Ecological and Environmental Sciences
Presentations, Exhibitions, Performances and Published Work:
- Chapman, J., Hill, A., Nagel-Myers, J., and Ramler, I. (2019) “The Liberal Arts Science Scholars Program: A Multidisciplinary Model for Supporting STEM Students through the First Year.” Journal of STEM Education 20, 17.
- Lee, C.S. and Ramler, I. (2019) A Data Science Approach to Exploring Hero Roles in Multiplayer Online Battle Arena Games. Invited book chapter for Data Analytics Applications in Gaming and Entertainment. Data Analytics Applications Series, Chapter 4
- (Keynote address) “How Data Science Made Me a Better Gamer” 2020 Mathematics Conference and Competition of Northern New York (MCCNNY). Potsdam, New York, February 29, 2020
- Lee, C.S. and Ramler, I. (2017) Identifying and evaluating successful non-meta strategies in league of legends. In Proceedings of Foundations of Digital Games (FDG) 2017
- Chaplin - Kramer, R., Ramler, I., Sharp, R., Haddad, N., Gerber, J., West, P., Mandle, L., Engstrom, P., Baccini, A ., Sim, S., Mueller, C., and King, H . (2015) Degradation in carbon stocks near tropical forest edges. Nature Communications. 6:10158
- Lee, C. and Ramler, I. (2015) Rise of the Bots: An Investigation of Illicit Bot Usage in League of Legends. Proceedings of the 14th International Workshop on Network and Systems Support for Games (NetGames), Zagreb, Croatia, December, 2015.
- Lee, C. and Ramler, I. (2015) Investigating the Impact of Game Features and Content on Champion Usage in League of Legends. Proceeding of Foundations of Digital Games 2015. Pacific Grove, CA, June 2015
- Jahne, M., Rogers, S., Ramler, I., Holder, E., and Hayes, G. (2015) Hierarchal Clustering Yields Insight into Multidrug - Resistant Bacteria Isolated from Cattle Feedlot Wastewater Treatment System. Environmental Monitoring and Assessment. 187:4168 (1)
Regularly Taught Courses:
- Statistics 113 - Applied Statistics
- Statistics 213 - Applied Regression Analysis
- Statistics 234 - Introduction to Data Science
- Statistics 325 - Probability
- Statistics 326 - Mathematical Statistics
Sample Student Projects Supervised:
- Investigating the Most Effective Card-upgrade Strategy in Clash Royale (S. Zhang Summer 2020)
- Creating a Recommendation System for Books on Project Gutenberg (E. Viehl, '19)
- Comparing Genres of Movie Scripts: An Application of Stylometry (J. Holly-Grisham, '17)
- Carbon Density in the Pantropic Forests (J. Fredericks '16)
- Predicting the Lifetime of Plutonium Fuel Cells (K. Christensen '14)
- Predicting Owner Tendencies in Fantasy Football Drafts (J. Chang '14)
- On Sabbatical