ML Tlachac

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Faculty Suite G, Room 2110

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ML Tlachac

ML Tlachac is an Assistant Professor in the Information Systems and Analytics Department and Faculty Fellow of the Center for Health and Behavioral Sciences at Bryant University. An ACUE certified instructor, Tlachac teaches data science courses such as data mining and natural language processing. Receiving a Data Science Ph.D. from Worcester Polytechnic Institute in Spring 2022, 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.,Reisch, M.,Lewis, B.,Flores, R.,Harrison, L.,Rundensteiner, E., Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation, Healthcare Analytics, Elsevier, 2022.

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

Hart-Brinson, P.,Tlachac, M.,Lepien, E., Contradictions in the Experience of Compulsory Sexuality and the Pathways to Asexual Citizenship, Sexuality & Culture, 2023.

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, 2023.

Flores, R.,Tlachac, M.,Toto, E.,Rundensteiner, E., Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions, Deep Learning Applications, Springer, 2022.

Tlachac, M.,Flores, R.,Toto, E.,Rundensteiner, E., Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings, Deep Learning Applications, Springer, 2022.

Toto, E.,Tlachac, M.,Rundensteiner, E. A., AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening, Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021.

Tlachac, M.,Gerych, W.,Agrawal, K.,Litterer, B.,Jurovich, N.,Thatigotla, S.,Thadajarassiri, J.,Rundensteiner, E., Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks, IEEE International Conference on Big Data, 2023.

Tlachac, M.,Melican, V.,Reisch, M.,Rundensteiner, E., Mobile Depression Screening with Time Series of Text Logs and Call Logs, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021.

Tlachac, M.,Sargent, A.,Toto, E.,Paffenroth, R.,Rundensteiner, E., Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020.

Tlachac, M.,Rundensteiner, E. A., Depression Screening from Text Message Reply Latency, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.

Tlachac, M.,Rundensteiner, E.,Barton, K.,Troppy, T. S.,Beaulac, K.,Doron, S., Anomalous Antimicrobial Susceptibility Trend Identification, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.