About
Hi there, welcome to my personal portfolio.
I'm Jean-Pierre, a Stellenbosch University Computer Science student.
I'm currently doing my PhD in machine learning and artificial intelligence under the supervision of Professor A.P.
Engelbrecht.
During my undergrad and Masters, I lived in Majuba Men's Residence and had the privilege to serve on the leadership of the House.
My experiences on the House Committee, as Primarius and as Vice-Primarius were phenomenal and have had a great impact on my views and capabilities.
These experiences have taught me how to lead, manage my time, make sacrifices and to be part of something
bigger than myself.
Research has become my passion and I aim to continue making contributions to the artificial intelligence community.
My Master's thesis, "Rule Induction using Swarm Intelligence", made new contribution in the field of explainable artificial intelligence with the idea that transparent models are more interpretable and therefore trustworthy.
My PhD thesis is focused on automated machine learning, specifically the use of concepts from quantum mechanics to improve state-of-the-art optimisation methods.
Automated machine learning aims to democratise the power of modern day artificial intelligence, by making tools more readily available to non-technical users.
Personal information.
In my spare time I enjoy triathlon training, pretending that my problems don't exist, shouting at the TV, volunteering for SANParks, and making cocktails.
If you want to know whether I want to create an AI that takes over the world, the answer is yes.
- Website: jeanpierrevanzyl.github.io
- Phone: You'll have to buy me a drink first
- Institution: Stellenbosch University
- City: Stellenbosch, RSA
- Current Occupation: Student
- Degree: MSc
- Email: jeanpierrevanzyl -at- proton -dot- me
- Freelance: Available
The internet is no place to get to know someone, take a walk outside.
Resume
I am a hard-working individual with a well-rounded set of skills stemming from years of experience in student leadership and extra-mural activities including musical theatre and sport. I aim to live a balanced lifestyle to ensure that I always perform to the best of my abilities.
Summary
Jean-Pierre van Zyl
Brief overview of experience
- Download CV
- Currently hold MSc in Computer Science
- Work experience consists of multiple internships
- Multiple years spent serving on student leadership
Education
PhD in Computer Science (In progress)
2023 -
Stellenbosch University, Stellenbosch, RSA
- Currently studying under Professor A.P. Engelbrecht
Master of Science in Computer Science (Cum Laude)
2021 - 2022
Stellenbosch University, Stellenbosch, RSA
- Obained Cum Laude
- View Degree
Bachelor of Science (Honours) in Computer Science (Cum Laude)
2020 - 2020
Stellenbosch University, Stellenbosch, RSA
- Obained Cum Laude
- View Degree
Bachelor of Science in Mathematical Sciences (Computer Science)
2017 - 2019
Stellenbosch University, Stellenbosch, RSA
- Completed a BSc in Mathematical Sciences with a main stream in Computer Science
- View Degree
National Senior Certificate
2012 - 2016
Fairmont High School, Durbanville, RSA
- Obtained 6 distinctions
Professional Experience
Funding
2023
BMW IT Hub, Pretoria, RSA (bmwithub.co.za)
- PhD funded by BMW as a contractor for the IT Hub
Part-time
2023
Stellenbosch University, Stellenbosch, RSA (ie.sun.ac.za)
- Worked as marker and guest lecturer for MEng (Ind)
Part-time
Mar 2021
Merlynn Intelligence Technologies, Centurion, RSA (merlynn-ai.co.za)
- Merlynn is an artificial intelligence firm developing customized AI solutions, without the need for historical data.
- Worked remotely while studying my MSc, contributed to expanding the capabilities of their AI systems.
Intern
Jan 2021 - Feb 2021
Polymorph Systems, Stellenbosch, RSA (polymorph.co.za)
- Polymorph is a software solutions company with wide range of focus and experience across industries
- Worked as a part of the in-house R&D team which drove the expansion of the company's IoT work to include Computer Vision at the Edge
Intern
Nov 2020 - Dec 2020
NMRQL Research, Stellenbosch, RSA (nrmql.com)
- NRMQL is an AI-driven investment company using cutting-edge technology to disrupt the industry
- Position provided first introduction to the Fintech industry
- Contributed to the expansion of the set of tools used to trade securities
Research Experience
All this stuff is fake. How does one even judge an open-ended skill as a percentage? But I see all the kids are doing it.
Publications
Outlined are selected publications
Set-Based Particle Swarm Optimisation: A Reivew
The main objective of this paper is to review the set-based particle swarm optimisation algorithm and to provide an overview of the problems to which the algorithm has been applied. MDPI Mathematics.
Rule Induction Using Set-Based Particle Swarm Optimisation
The SBPSO algorithm was successfully applied to induce rule sets on categorical data to allow for transparent classification for critical industries. This work has been published at the IEEE World Congress On Computational Intelligence (2022).
Polynomial Approximation Using Set-Based Particle Swarm Optimization
The SBPSO is an adaptation of the standard PSO for problems in a discrete search space. This algorithm was applied to solve regression problems and published for the International Conference on Swarm Intelligence (2021).
Contact
Feel free to contact me about any freelance work, academic consultations or general queries
Location:
Media Lab, Engineering Faculty, Stellenbosch University, Stellenbosch 7600
Email:
jeanpierrevanzyl -at- proton -dot- me or 20706413 -at- sun -dot- ac -dot- za
Call:
Still waiting on that drink