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As a Fellow of the Higher Education Academy in the UK, I take teaching seriously. Since I was a graduate student in New York, I have taught a wide range of courses, reflecting my eclectic research style.
University of Hull
My department, the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling, offers an MSc degree programme titled Artificial Intelligence and Data Science. This fast-track conversion course allows graduates from all academic backgrounds to launch a career in this field. In 2024, I co-designed a variant of it for mathematically inclined students. It is titled MSc Artificial Intelligence for Engineering and I designed a module titled Numerical Methods for Engineering.
Applied Artificial Intelligence
After teaching this module in Summer 2023 and Spring 2024, and receiving positive feedback from the cohorts, I was promoted to module leader at the start of Autumn 2024. Within this context, I have taught supervised, unsupervised, and reinforcement learning algorithms, as well as computer vision and natural language processing applications, including linear regression, decision trees, Naive Bayes, k-means clustering, hierarchical clustering, principal component analysis, feedforward neural networks, convolutional neural networks, autoencoders, recurrent neural networks, attention models, and Q-learning.
Research and Application in AI and Data Science
In Spring 2023, Summer 2023, and Spring 2024, I gave guest lectures on cancer modelling.
Personal supervision
I have provided support to 47 personal supervisees in their personal, academic, and professional development.
Nuffield Research Placements
In collaboration with Paula Symonds from Direct Education Business Partnership, I arranged Nuffield Research Placements for 10 Year 12 students. In July and August 2024, I coordinated a team of five PhD candidates, who gave AI lectures and guided the students when they built a chatbot and a facial emotion detector.
University of Sheffield
When I was a postdoctoral research associate in the Department of Computer Science, I gave a guest lecture as a part of the module titled Modelling and Simulation of Natural Systems, led by Doctors Aditya Gilra and Dawn Walker, in the academic year 2020–2021. After proposing the addition of a guest lecture on partial differential equations to the module leaders and obtaining their approval, I independently designed and delivered the lecture to around 100 undergraduate and master's students. I defined and classified partial differential equations before outlining several common analytic, numerical, and qualitative methods.
In the academic year 2021–2022, I visited Tapton School to give a seminar talk about my neuroblastoma research.
University of Southampton
During my time as a PhD candidate on the south coast of England, I worked as a demonstrator in the Faculty of Engineering and the Environment. I assisted in two general courses for undergraduates enrolled in different engineering degrees.
Design and Computing
In the academic year 2016–2017, when Doctor Alexander Forrester coordinated the course, I tutored around 450 first-year undergraduate students in Python programming and basic numerical methods in computer lab sessions. In the design part, I provided continuous feedback to around 100 first-year undergraduate students who designed and built launchers in two weeks.
Thermofluids
In the academic years 2014–2015, 2015–2016, and 2016–2017, when Professor John S. Shrimpton coordinated the course, I assisted in this two-semester introductory course in thermodynamics and fluid mechanics. There were up to 500+ first-year undergraduate students in each cohort. I demonstrated four experiments about drag forces, ideal gas properties, thermodynamic cycles, and hydrostatic forces. Also, I marked and provided feedback on problem sheets and lab reports.
Columbia University in the City of New York
In order to support myself financially in New York, I worked as a teaching assistant in the Department of Chemical Engineering when I was a graduate student there.
Analysis of Chemical Engineering Problems I
In Fall 2013, I assisted Doctor Vanessa Ortiz in this Python-based course about numerical methods for 60 junior students majoring in chemical engineering. I held office hours and tutored the students in computer lab sessions. I also prepared code for assignment solutions and graded assignments.
Chemical Engineering Laboratory
In Spring 2013, when Professor Jingyue Ju led the course, I demonstrated how to separate ammonia from air in a packed bed absorption column to 31 senior students majoring in chemical engineering.
Transport Phenomena I
In Fall 2012, I assisted Adjunct Professor Michael Hill in this theoretical course about momentum and energy transport for 60 junior students majoring in chemical engineering. I held office hours, recitations, revision lectures, and graded assignments.