Teaching Interests

  • Experiment Design and Analysis
  • Business Analytics
  • Programming
  • Database Management

Teaching Experience

Warwick Business School, University of Warwick

Lecturer & Seminar Instructor - Graduate (MSc.) Level

1. Advanced Data Analysis (lectured on Experiment Design & Analysis, A/B Testing, Causal Inference)SP 2023. [Hybrid]. 2. Analytics in Practice (lectured on Machine-Learning Classification Model Building, Selection, & Evaluation)FA 2022. [Hybrid]. 

Seminar Instructor - Undergraduate (BSc.) Level

3. Business Analytics (trained students on Forecasting, Linear Programming, Simulation, Data Visualization)SP 2022, SP 2023. [Face-to-Face]. Lecturer - Graduate (Ph.D.) Level4. Recent Advances in Operational Research and Operations Management (lectured on Experiment Design & Analysis, and Human-Machine Collaboration Bias and Fairness research)SP 2022 [Face-to-Face]. 5. Recent Advances in Operational Research (lectured on Experiment Design & Analysis, and Human-Machine Collaboration Bias and Fairness research)SP 2023 [Face-to-Face]. 

Zicklin School of Business, Baruch College, City University of New York

Lecturer (Module Leader) - Undergraduate (BSc.) Level

5. Programming and Computational Thinking (in Python)SP 2021 [Online]. 2 sections, 30 students/section. syllabus | lectures & assignments6. Programming for Data Analytics (in Python)  SP 2019 [Face-to-Face]. 20 students.  syllabus | lectures & in-class exercises7. Online Excel & Access Learning Module of Introductory IS Course (All Sections)AY 2018–19, FA 2019, AY 2020–21 [Online]. ~1,300 students/semester. syllabus8. Introduction to Information SystemsFA 2015, 2016, 2017, 2020 [Face-to-Face, Hybrid, Online]. ~80 students/class. syllabusGuest Lecturer - Graduate (Ph.D.) Level9. Information Economics & Competitive Strategies (lectured on Experiment Design & Analysis, and Human-Machine Collaboration research)FA 2021 [Online], SP 2018 [Face-to-Face]

Assistant Instructor - Graduate (Executive Doctoral) Level

10. Econometric Methods for Business Research (in R)FA 2018 [Face-to-Face]. 20 students