See my complete CV here.

Education

• Doctorate in Applied Mathematics, Paul Sabatier University, Toulouse, France (2020-2023).
• Engineering Degree of Aerospace Engineering ‘18, PFIEV Program, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam.

Experience

• 2018-2019: Software Engineer, AriaTec Ltd, Ho Chi Minh City, Vietnam.
• 2019-2020: Probationary Lecturer, Department of Aerospace Engineering, HCMUT, Ho Chi Minh City, Vietnam. Courses taught: Avionics, Aerodynamics, Fluid Mechanics.

Honors

• 2020: Fellowship for PhD Study at ANITI / ENAC / Paul Sabatier University (France).
• 2020: Fellowship for PhD Study at University of New South Wales (Australia).
• 2019: Top 30 finalists of National Young Engineer and Scientist Award (Hanoi, Vietnam).
• 2018: Gold Medalist of the PFIEV Aerospace Engineering Cohort.
• 2018: Merits for Quintessential Student of HCMUT.
• 2017-2018: Excellent Student Scholarship.
• 2012: First Prize in Ho Chi Minh City Physics Olympiad (ranked 5th).

Skills

During my research, I have utilized various software and libraries:

• SUMO, ARTERY, INET for wireless network simulations.
• Developed a C++ library for Spherical Codec.
• Use R to analyze the results.
• Use Python to prototype the algorithms. I am familiar with sklearn, skfda and standard machine learning libraries like TensorFlow, numpy, scipy… I’m also familiar with web and mobile app development using the React framework, Node.JS, MongoDB, and ExpressJS ecosystems.

Projects

• 2020-2023: Collective Perception, optimization of the V2X frequency channel(s) usage and CP message contents based on A.I (in partnership with NXP Semiconductors, France).
• 2022-2023: Weather Project, comparing similar weather dates and multidimensional scaling the trajectories for quick visualization of air traffic situations (in partnership with George Washington University, USA).

Hobbies

I like to read psychological books in my free time, and often find myself conseilling my close friends and family. I also read more about math to satisfy my long-held admiration of the French for their unique approach to mathematics.

My favourite airplane is the Boeing 787 Dreamliner.

I am a fan of the Manchester City F.C. and have a decent collection of Japanese stationery, particularly mechanical pencils. My daily driver is the Uni-ball Kuru Toga.

I also like sharing book recommendations with my friends and family. My favourite genres are investigative journalism and history.

Reading list

Currently I’m reading the following books (as of July 2024):

• Flying Blind: The 737 Max Tragedy and the Fall of Boeing, Peter Robison.
• The Alignment Problem: Machine Learning and Human Values, Brian Christian.
• Make It Stick: The Science of Successful Learning, Peter C. Brown.

I have read past the following books in 2023 (maybe not all of them):

• The Tragedy of Great Power Politics, John J. Mearsheimer.
• The Autobiography of Benjamin Franklin, Benjamin Franklin.
• Dataclysm: Who We Are (When We Think No One’s Looking), Christian Rudder.
• Skunk Works: A Personal Memoir of My Years at Lockheed, Ben R. Rich.
• The Rare Find: Spotting Exceptional Talent Before Everyone Else, George Anders.
• The Signal and the Noise: Why So Many Predictions Fail - But Some Don’t, Nate Silver.
• The Israel-Palestine Conflict: One Hundred Years of War, James L. Gelvin.
• The Man Who Broke Capitalism, David Gelles.
• Dogs and Demons: The Fall of Modern Japan, Alex Kerr.
• Behave: The Biology of Humans at Our Best and Worst, Robert M. Sapolsky.

And in 2022:

• America Against America, Wang Huning.
• The Man Who Knew Infinity, Robert Kanigel.
• A Beautiful Mind, Sylvia Nasar.
• Marie Curie: A Life, Susan Quinn.
• CBT for Dummies, Rhena Branch.