Enea Monzio Compagnoni, MSc. MSc.

Enea Monzio Compagnoni, MSc. MSc.

PhD student at the University of Basel (stochastic optimization, deep learning). Previously in finance. I am persistent on hard math and relentless on experiments: theory-driven training improvements, RL for Robotics, and large-scale hyperparameter optimization.

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teaching

Foundations of Deep Learning (2022)

Graduate course, University of Basel, Department of Mathematics and Computer Science, 2022

Duty

I was a Teaching Assistant responsible to teach in the exercise class as well as design and grading the homeworks and the exam.

Continuous Optimization (2023)

Graduate course, University of Basel, Department of Mathematics and Computer Science, 2023

Duty

I was a Teaching Assistant responsible to teach in the exercise class as well as design and grading the homeworks and the exam.

Foundations of Deep Learning (2023)

Graduate course, University of Basel, Department of Mathematics and Computer Science, 2023

Duty

I was a Teaching Assistant responsible to teach in the exercise class as well as design and grading the homeworks and the exam.

Continuous Optimization (2024)

Graduate course, University of Basel, Department of Mathematics and Computer Science, 2024

Duty

I am a Teaching Assistant responsible to design the homeworks and the exam.

Foundations of Deep Learning (Fall 2025)

Graduate course (MSc level), University of Basel, Department of Mathematics and Computer Science, 2025

Duty

I served as a Teaching Assistant for the exercise sessions. My responsibilities included designing new exercise sheets and continuous-assessment questions, preparing tutorial material (including a PyTorch tutorial notebook), mentoring student project groups, and grading homeworks, the midterm, the project write-ups, and the written exam. I also contributed to preparing new exam material and supported students through Q&A and office-hour style help.