Teaching:
2024-2025 (Lecturer in Mathematical Sciences at MSP, Newcastle University, UK):
I worked on the following modules:
Course: Research Methods - NBS8062 (April 2025 - August 2025)
Role: Supervisor | level: Postgraduate | Mode: In-person | Participants: 2
Course: Data-Centric Ground Engineering - CEG8220 (March 2025)
Role: Lecturer | Period: Semester 2 | level: Graduate | Mode: In-person + recorded lecture support | Participants: 9
This is a Stage 4 module designed to introduce the basic skills and knowledge related to data science for geotechnical and geological engineers. I taught "Statistical Methods: Regression and Time Series" with demonstrations in R as part of the module (3 hours total).
Course: Professional Skills for Accounting and Finance/Introductory Quantitative Methods & Principles Of Taxation - ACC1012/ACC1053 (Jan 2025)
Role: Module leader (Statistics Component) | Period: Semester 2 | level: Undergraduate | Mode: In-person + recorded lecture support | Participants: ~240
These two business school service modules are taught jointly across two semesters, with mathematics delivered in Semester 1 and the full statistics component delivered in Semester 2. I was responsible for teaching all statistics content to the complete cohort of ACC1012 and ACC1053 students. This module equips business school students with essential tools in mathematics, probability, and statistics, including probability distributions, confidence intervals, hypothesis testing, regression analysis, and quantitative reasoning skills for further study and professional practice.
My responsibilities included:
- Designing and grading the final and resit examinations for both modules.
- Delivering weekly lectures and coordinating 16 Minitab-based workshops (8 per week).
- Preparing structured weekly lecture materials.
- Managing all course administration on Canvas (content, announcements, deadlines, submission links, and Minitab assignments) and grading assessment reports on Turnitin.
- Using Numbas for automated formative assessments.
- Supporting a diverse cohort through clear communication, timely feedback, and a well-organized digital learning environment.
- Participating in relevant School meetings and coordinating with other module leaders involved in these modules.
Course: Clinical Research Statistics (E-Learning) - MCR8019 (Jan 2025)
Role: Module leader | Period: Semester 2 | level: Graduate | Mode: Online | Participants: 11
I led the online delivery of Clinical Research Statistics, a postgraduate module structured around 11 weekly topics combining theory, examples, and software demonstrations (Minitab/SPSS). My responsibilities included guiding students through the weekly content, running discussion sessions after each topic, responding to queries, and supporting student engagement throughout the module. I coordinated with the content team to ensure timely publication of materials, reviewed all demonstrations to prepare for discussions, and participated in relevant Medical School meetings with colleagues. Assessments included two automatically graded MCQ exams and an 80% written report (graded by the designated marker). I ensured smooth administration through Canvas and provided clear support to students in an online learning environment.
2022-2023 (Post-Doctoral Research Associate at ISI Bangalore, India):
Course: Reliability Maintainability and Safety II (Jan 2023)
Role: Teacher | Instructor: Dr. E. V. Gijo | level: Graduate | Mode: In-person | Participants: 21
I was responsible for preparing and teaching a specialized topic, "Accelerated life-testing."
Notes Slides
2014-2022 (PhD student, IIT Kanpur, India):
During my doctoral studies, I served as a teaching assistant for several undergraduate and postgraduate courses in the Department of Mathematics and Statistics. A detailed list of my teaching assistance roles and responsibilities is available below.
Teaching Assistance (link)