*Please find my complete CV here
M.T. Lash, S. Fu, S. Wang and K. Zhao, Early prediction of movie success-What, who, and when, in Proceedings of the 2015 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP), 2015.
M.T. Lash and K. Zhao, Early predictions of movie success: The who, what, and when of profitability, Journal of Management Information Systems (JMIS), 33(3):874-903, 2016.
M.T. Lash, Q. Lin, W.N. Street, J.G. Robinson and J. Ohlmann, Generalized Inverse Classification, in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), pp. 162-170, 2017.
A.K. Gerke, F. Tang, M.T. Lash, J. Schappet, E. Phillips and P.M. Polgreen, A web-based registry for patients with sarcoidosis, Sarcoidosis vasculitis and diffuse lung diseases (SVDLD), 34(1):26-34, 2017.
M.T. Lash, J. Slater, P.M. Polgreen, and A.M. Segre, A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models, in Healthcare Informatics (ICHI), 2017 International Conference on, pp. 66-73, 2017.
M.T. Lash, Q. Lin, W.N. Street and J.G. Robinson, A budget-constrained inverse classification framework for smooth classifiers, in Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, pp. 1184-1193, 2017.
M.T. Lash, Y. Sun, X. Zhou, C.F. Lynch, and W.N. Street, Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa, in Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on, pp. 778-785, 2017.
M.T. Lash, M. Zhang, X. Zhou, C.F. Lynch, and W.N. Street, Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer SurvivalCurves in Iowa, International Journal of Data Mining and Bioinformatics (IJDMB), 21(3):183-211, 2018.
M.T. Lash, J. Slater, P.M. Polgreen, and A.M. Segre, 21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models, Journal of Healthcare Informatics Research (JHIR), 3(4):393-413, 2019.
M.T. Lash and W.N. Street, Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification, in Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on, pp. 2610-2617, 2020.
A. Gupta, M.T. Lash, S.K. Nachimuthu, Optimal Sepsis Patient Treatment using Human-in-the-oop Artificial Intelligence, Expert Systems with Applications (ESWA), 169:1-14, 2021.
M.T. Lash, S. Sajeesh, O.M. Araz, Predicting mobility using limited data during early stages of a pandemic, Journal of Business Research (JBR), 157, 2023.
Talk at Data Mining and Analytics Workshop, INFORMS Annual Meeting, San Francisco, CA, USA
Talk at 2014 INFORMS Annual Meeting, San Francisco, CA, USA
Poster at Social Computing, Behavioral-Cultural Modeling, and Prediction Conference, Washington D.C., USA
Invited Talk at 2015 INFORMS Annual Meeting, Philadelphia, PA, USA
Invited Talk at 2016 INFORMS Annual Meeting, Nashville, TN, USA
Invited Talk at 2016 INFORMS Annual Meeting, Nashville, TN, USA
Talk; Poster at SIAM International Conference on Data Mining 2017 (SDM17), Houston, TX, USA
Talk at 2017 IEEE International Conference on Healthcare Informatics (ICHI17), Park City, UT, USA
Invited Talk at 2017 INFORMS Annual Meeting, Houston, TX, USA
Talk at 2017 IEEE International Conference on Bioinformatics and Biomedicine, Kansas City, MO, USA
Invited Talk at University of Iowa Department of Computer Science Graduate Research Symposium 2017, Iowa City, IA, USA
Invited Talk at University of Iowa Informatics Day 2017, Iowa City, IA, USA
Invited Talk at 2018 INFORMS Annual Meeting, Phoenix, AZ, USA
Talk at Center for Business Analytics Research Fall 2019 Seminar Series (CBAR), Lawrence, KS, USA
Invited Talk at 2019 INFORMS Annual Meeting, Seattle, WA, USA
Invited Talk at 2020 INFORMS Annual Meeting, Virtual
Invited Talk at University of Nebraska Supply Chain Management and Analytics Seminar Series Spring 2021, Virtual
Invited Talk at 2021 INFORMS Annual Meeting, Virtual and Anaheim, CA, USA
Talk at Center for Business Analytics Research Fall 2021 Seminar Series (CBAR), Lawrence, KS, USA
Invited Talk at Production and Operations Management Society Conference 2022, Virtual
Invited Talk at 2022 INFORMS Annual Meeting, Indianapolis, IN, USA
Invited Talk at 2022 Association for Consumer Research Conference, Denver, CO, USA