Shaikh Tanvir Hossain
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Shaikh Tanvir Hossain

Doctoral Candidate
TU Dortmund

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Shaikh Tanvir Hossain

📧 tanvir.hossain@tu-dortmund.de • tanvirhossain.sk@gmail.com
🌐 sthossain.github.io
Research Interests
Econometrics, Causal Inference, and Machine Learning
Education
Doctoral Candidate (Faculty of Business and Economics)
2021/10 – ongoing
TU Dortmund University, Dortmund, Germany
Dissertation Title: Parametric and Nonparametric Learners for Adaptive Experiments under Interference.
Status: Defense passed with magna cum laude.
Committee: Prof. Dr. Carsten Jentsch (Supervisor); Prof. Dr. Phillip Jung; Prof. Dr. Alexander Marx.
Master of Science (M.Sc.) in Economics (2 yr. program)
2017
University of Mannheim, Mannheim, Germany
Focus Areas: Statistics and Econometrics.
Thesis Title: LASSO & Vector Autoregressive Models – With an Application to Dynamic Stochastic Networks.
Completed 121.5 ECTS with an overall grade of 1.7 (German grading system, with 1.0 being the best).
Bachelor of Business Administration (BBA) with a Second Major in Economics
2012
BRAC University, Dhaka, Bangladesh
Major: Economics & Finance (BRAC Business School).
Completed 181 credits with a cumulative GPA of 3.64 / 4.00 (on a 4.0 scale, with 4.0 being the best), graduated with distinction.
Employment
Lecturer
2025/01 – 2025/09
East West University, Dhaka, Bangladesh
Faculty of Business & Economics, Dept. of Economics
Teaching: Undergraduate Statistics and Mathematics courses for Business and Economics students. Full-time faculty position during the final stages of doctoral studies.
Adjunct Lecturer
Summer & Fall 2022, Fall 2023, Fall 2024
East West University, Dhaka, Bangladesh
Faculty of Business & Economics, Dept. of Economics
Teaching: Undergraduate Statistics & Mathematics courses for Business and Economics students. Adjunct faculty position alongside doctoral studies.
Research Associate (German: Wissenschaftlicher Mitarbeiter)
2018/04 – 2022/03
TU Dortmund University, Dortmund, Germany
Chair of Business and Social Statistics, Dept. of Statistics
Research: Part of the project: M-out-of-N bootstrap for matching estimators.
Research Contribution: Acknowledged in Walsh, C., & Jentsch, C. (2023), Econometrics and Statistics, for contribution to the project on M-out-of-N bootstrap for matching estimators.
Teaching: TA and Course Instructor for graduate courses in Econometrics, Statistics, and Data Science. Enrolled as a doctoral student with research and teaching duties aligned with doctoral studies.
Research Associate (German: Wissenschaftlicher Mitarbeiter)
2017/03 – 2018/03
University of Mannheim, Mannheim, Germany
Chair of Statistics and Chair of Econometrics, Dept. of Economics
Research: Part of the project: Dynamic Network estimation using LASSO.
Teaching: Assisted in teaching for graduate course Impact Evaluation and Research Design for Economics and Sociology students.
Student Assistant (during M.Sc.)
2015/03 – 2017/02
University of Mannheim
Chair of Statistics and Chair of Econometrics, Dept. of Economics
Research Contribution: Acknowledged in Bernard, I., Frölich, M., Landmann, A., Unte, P. N., Viceisza, A., & Wouters, F. (2015), Building trust in rural producer organizations in Senegal: Results from a randomized controlled trial (No. 9207), IZA Discussion Papers.
Research Locations: University of Mannheim (2015/03 – 2017/02) and University of Heidelberg, Probability & Statistics Group Heidelberg-Mannheim (formerly RTG Complex Systems) (2016/02 – 2017/02).
Project Assistant, Data Management
2012/12 – 2014/02
Innovations for Poverty Action (IPA), Dhaka, Bangladesh
Project: Assisted in the study “Building management hierarchies for growth in LICs: understanding the role of supervisor training in the Bangladeshi garment sector.”
Key Tasks: Managed and processed large-scale survey and factory datasets using Python.
Research Intern
2012/09 – 2012/12
South Asian Network on Economic Modeling (SANEM), Dhaka, Bangladesh
Key Tasks: Managed primary data and assisted in designing questionnaires using CSPro.
Funds, Scholarships & Awards
Funding
Quality Improvement Funds (Qualitätsverbesserungsmittel), TU Dortmund, for contributions to course design in Econometrics of Treatment Effects and Policy Evaluation, Precourse Statistics (Statistical Estimation).
Scholarship
DAAD Graduation Scholarship (Deutscher Akademischer Austauschdienst), University of Mannheim.
Academic Honors
Vice Chancellor’s List Award (GPA ≥ 3.9) at BRAC University (Summer 2010, Spring 2011, Summer 2011, Summer 2012); Dean’s List Award (GPA 3.7–3.89) (Spring 2010, Fall 2010, Spring 2012).
Attended Workshops & Conferences
Presentations
German Probability and Statistics Days (GPSD), 2018, University of Freiburg. Modeling and Prediction of Dynamic Networks Using Binary Autoregressive Time Series Processes.
German Statistical Week, 2021 (online), University of Kiel. Nearest Neighbor Matching: Does the M-out-of-N Bootstrap Work When the Naive Bootstrap Fails?
Workshops
Bielefeld-Dortmund Summer School 2017 on Modern Topics in Time Series Analysis, TU Dortmund.
Workshop on Causality (DFG Research Unit 1735, “Structural Inference in Statistics”), Uder. Lectures by Prof. Jonas Peters and Prof. Vanessa Didelez.
Workshop on Mathematical Statistics (“StatMathAppli 2019”), Fréjus. Lectures by Prof. Matthieu Lerasle and Prof. Peter Bühlmann.
Coding Skills
R, Python, Julia, LaTeX
Additional Information
Nationality: Bangladeshi
Languages: Bangla (Native), English (Fluent), German (Basic)
Schools & College
SSC from Government Laboratory High School, Dhaka (Science Group - GPA 5.00)
HSC from Notre Dame College, Dhaka (Science Group - GPA 5.00)
References
Prof. Dr. Carsten Jentsch

Professor and Chair of
Business and Social Statistics
Dept. of Statistics, TU Dortmund
jentsch@statistik.tu-dortmund.de

Prof. Dr. Wasiqur Rahman Khan

Professor and Chairman
Dept. of Economics and Social Sciences
BRAC University
wrk@bracu.ac.bd

Dr. A.M. Tanvir Hussain

Environmental Specialist (Economist)
SANDEE, ICIMOD
Associate Professor
Dept. of Economics, East West University
abl.Hussain@icimod.org

This CV was last updated on June 2, 2026. For further inquiries, please reach out via email.

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