Faculty Profile - ML Tlachac - 460x460

ML Tlachac

ML Tlachac is an Assistant Professor in the Information Systems and Analytics Department, joining Bryant University for the Fall 2022 semester. Receiving a Data Science Ph.D. in Data Science from Worcester Polytechnic Institute, Tlachac’s dissertation research focused on mental health screening with mobile text logs. Among other research directions, Tlachac is continuing to conduct research at the intersection of mobile health, human-computer interaction, machine learning, and mental health. Tlachac’s research has been published in venues such as IEEE Journal of Biomedical and Health Informatics (J-BHI) and ACM Proceedings on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Tlachac enjoys mentoring student researchers, writing, solving puzzles, and walking with dog Bumper.

Ph D, Worcester Polytechnic Institute

MS, Worcester Polytechnic Institute

BS, University of Wisconsin- Eau Claire

Tlachac, M.,Flores, R.,Reisch, M.,Houskeeper, K.,Rundensteiner, E. A., DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2022.

Tlachac, M.,Flores, R.,Reisch, M.,Kayastha, R.,Taurich, N.,Melican, V.,Bruneau, C.,Caouette, H.,Lovering, J.,Toto, E.,Rundensteiner, E. A., StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2022.

Tlachac, M.,Reisch, M.,Lewis, B.,Flores, R.,Harrison, L.,Rundensteiner, E., Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation, Elsevier's Healthcare Analytics, 2022.

Toto, E.,Tlachac, M.,Rundensteiner, E. A., AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening, ACM, 2021.

Tlachac, M.,Rundensteiner, E., Screening For Depression With Retrospectively Harvested Private Versus Public Text, IEEE Journal of Biomedical and Health Informatics, 2020.

Tlachac, M.,Melican, V.,Reisch, M.,Rundensteiner, E., Mobile Depression Screening with Time Series of Text Logs and Call Logs, IEEE, 2021.

Tlachac, M.,Rundensteiner, E. A., Depression Screening from Text Message Reply Latency, IEEE, 2020.

Tlachac, M.,Rundensteiner, E.,Barton, K.,Troppy, T. S.,Beaulac, K.,Doron, S., Anomalous Antimicrobial Susceptibility Trend Identification, IEEE, 2020.

Flores, R.,Tlachac, M.,Toto, E.,Rundensteiner, E., Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions, Springer International Publishing.

Tlachac, M.,Flores, R.,Toto, E.,Rundensteiner, E., Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings, Springer International Publishing.

Tlachac, M.,Sargent, A.,Toto, E.,Paffenroth, R.,Rundensteiner, E., Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection, IEEE, 2020.

Alkhathlan, M.,Tlachac, M.,Harrison, L.,Rundensteiner, E., Improving Image Accessibility by Combining Haptic and Auditory Feedback, ACM.

Senn, S.,Tlachac, M.,Flores, R.,Rundensteiner, E. A., Ensembles of BERT for Depression Classification, IEEE.

Tlachac, M.,Shrestha, A.,Shah, M.,Litterer, B.,Rundensteiner, E., Automated Construction of Lexicons to Improve Depression Screening with Text Messages, IEEE Journal of Biomedical and Health Informatics.

Flores, R.,Tlachac, M.,Rundensteiner, E. A., Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning, ACM, 2022.

Best Applied Research Paper, 2021

CARE (Courageous, Aware, Responsible, Exceptional) Award, 2021

Data Mining, Predictive Analytics, Feature Engineering, Data Science, Natural Language Processing, Machine Learning, Data Visualization, Health Informatics

Mobile Health, Health Informatics, Human-Computer Interaction, Machine Learning, Generative Modeling, Natural Language Processing, Mental Health Screening, Computational Sociology, Accessibility, Sustainability

Association for Computing Machinery

IEEE Engineering in Medicine and Biology Society

Institute of Electrical and Electronics Engineers