Workshops and Trainings
Participant
2024 DC annual environmental epidemiology methods workshop - “Innovative Methods for Analysis of Environmental Mixtures"
Overview of Issues in the Analysis of Mixtures by Marianthi-Anna Kioumourtzoglou, ScD, Associate Professor of Environmental Health Sciences, Columbia University Mailman School of Public Health.
Weighted Quantile Sum Regression: Chris Gennings, PhD, Professor, Icahn School of Medicine.
Kernel Machine Regression by Jennifer Bobb, PhD, Associate Biostatistics Investigator, Kaiser Permanente Washington Health Research Institute, Seattle.
Other Machine Learning Applications by Vishal Midya, MStat, PhD, Assistant Professor, Icahn School of Medicine at Mount Sinai, NYC.
Roundtables/Q&A by W. Dana Flanders, MD, DSc, MPH, Professor, Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta.
2024 ENAR workshop - An Introductory Tutorial on Structural Equation Modeling in R with Lavaan: Douglas D. Gunzler, Ph.D., Associate Professor of Medicine, Case Western Reserve University at Metro Health Medical Center
2024 AllofUS Research Data handling and Privacy: Research Workbench, AllofUS
2022 International Teaching Assistant (ITA) summer training, Drexel University
2022 CITI Program
Health Information Privacy and Security - Medical, Biomedical, Nursing, Public Health and Psychology
Public Health Research
Group 2: Social Behavioral COI; RCR
Social Behavioral
2021 Scoping and systematic review: Shaikh A. Shahed Hossain, Ph.D. BRAC University
2020 The Use of Bio-Conductor for Detecting Genome Sequence Big Data in R and Creating New Package in R: Dr. Tapati Basak, Professor, Jahangirnagar University, Former Researcher - Upsala University, Uppsala University, Sweden
2020 Handling Big Data in R: Romana Rois, Ph.D. Jahangirnagar University
2019 STATA: Beginner to Advance: Tarek Ferdous Khan, PhD, Assistant Professor, Clemson University, USA
Trainer
2019 Basics of R: Data Handling and Manipulation
2019 Data Visualization with R
2019 Presentation Software's, Organized by Statistic LEAD Club, Department of Statistics, Jahangirnagar University.
Conferences and Seminars
Conferences
2024 Eastern North American Region (ENAR), International Biometric Society Spring Meeting, Baltimore
– Paper Presentation: Using LASSO to examine income differences in the spatial distribution of food outlets near schools in California
2023 Joint Statistical Meeting (JSM), Toronto, Ontario, Canada
– Paper Presentation: Spatial distribution of food outlets near private and public schools in California
2022 International Conference of Covid-19 Impact, BRAC University, Bangladesh
2019 Applied Statistics and Policy Analysis Conference, organized by Charles Stuart University, Australia.
– Paper Presentation: Finite Mixture Modelling Approach to Identify Factors Affecting Children Ever Born for 15–49-Year-Old Women in Asian Country
2018 International Conference on Recent Advances in Mathematical and Physical Sciences, BD, 2016.
– Accepted Proceedings: A Comparative Study among Poisson, Negative Binomial and Hermite Regression.
Seminars
2024 Improved Least Squares Phylogenetic Inference by Peter Chi, PhD, Associate Professor of Statistics, Villanova University
2024 Randomized Clinical Trials – Replacing Traditional Analyses with Better Alternatives; Devan V. Mehrotra, PhD, Biostatistics and Research Decision Sciences, Merck & Co., Inc.
2024 Exposed and vulnerable: endocrine disrupting chemicals and children’s health; Jordan R. Kuiper, PhD, MS, Assistant Professor, Department of Environmental and Occupational Health, The George Washington University Milken Institute School of Public Health
2024 Principal Stratification and Bayesian Testing in Clinical Trials with Intercurrent Events; Dominique McDaniel, PhD, Merck & Co., Inc
2024 The Science of Partner Engagement in Research: Development and Validation of Evaluation Metrics, Melody S. Goodman, Ph.D., New York University School of Global Public Health
2024 Regression Discontinuity Designs, Matias D. Cattaneo, Ph.D., Princeton University
2024 Exploratory and Inferential Spatial Statistical Methods: Tools To Understand the Geography of Health Across the U.S., Loni Philip Tabb, Ph.D., Drexel University Dornsife School of Public Health.
2024 Bayesian Spatial Statistical Methods for Operationalizing and Estimating the Impact of Racialized Economic Segregation in the US by Yang Xu, Ph.D. Drexel University Dornsife School of Public Health.
2024 Statistical and Machine Learning contributions to the analysis of single-cell RNA sequencing data by Saishi Cui, Ph.D. Drexel University Dornsife School of Public Health.
2024 Making Data Matter: Applying AI Technologies for Community Benefit. Presenter: Theresa Dirndorfer Anderson, PhD.
2024 Treating Your Data FAIRly and with CARE: a Conversation About Data Efforts at Drexel, Philadelphia, and Beyond