Currently in Hessian Matrix, NUS, NVIDIA

(1) I lead applied AI research and live systematic trading with multi-billion dollar notional sizes at Hessian Matrix. We develop scalable systematic strategies with deep learning, reinforcement learning and bayesian learning for thin-tailed and fat-tailed distributions. We are a systematic global hedge fund led by a team with deep experience formerly from GIC, NUS, and NVIDIA.

(2) I am also an NVIDIA Deep Learning Institute instructor leading all deep learning industry workshops in NUS, Singapore and conducting workshops across Southeast Asia.

(3) I’m into applied research for systematic trading strategies with deep learning at NUS where I am a research scholar in NExT (NUS)) and a PYI Fellow.

(4) My passion for enabling anyone to leverage on deep learning has led to the creation of Deep Learning Wizard where I have taught and still continue to teach more than 3000 undergraduates, graduates and professionals in over 60 countries around the world.

Previously in AI Quant Hedge Fund: ensemblecap.ai

I spent 2.5 years leading artificial intelligence with my colleagues in ensemblecap.ai, an AI hedge fund based in Singapore comprising research scientists, engineers, quants, and traders from NVIDIA and JP Morgan. I have built the whole AI tech stack in a production environment with rigorous time-sensitive and fail-safe software testing powering multi-million dollar trades daily. Additionally, I led, as portfolio manager, our deep learning systematic portfolio, delivering high positive returns in highly volatile years like 2018 (US-China trade war initiation) and 2020 YTD (covid-19 virus)

Previously in AI Academia: NUS

I was previously conducting research in meta-learning for hyperparameter optimization for deep learning algorithms in NExT Search Centre that is jointly setup between National University of Singapore (NUS), Tsinghua University and University of Southampton led by co-directors Prof Tat-Seng Chua (KITHCT Chair Professor at the School of Computing), Prof Sun Maosong (Dean of Department of Computer Science and Technology, Tsinghua University), and Prof Dame Wendy Hall (Director of the Web Science Institute, University of Southampton).

I graduated from NUS where I was an NUS Global Merit Scholar, Chua Thian Poh Community Leadership Programme Fellow, Philip Yeo Innovation Associate, and NUS Enterprise I&E Praticum Award recipient. I was awarded the IT Youth Leader of the Year Award in 2019.

Deep Learning Courses with Deep Learning Wizard

Presentations and Publications

Challenges at Conferences

Past Talks/Workshops

Past Projects

Past Articles


IT Youth Leader of The Year 2019, Singapore Computer Society
Prestigious award for my industry, academic and charitable work in ensemblecap.ai, Deep Learning Wizard, NVIDIA and NUS

Chua Thian Poh Community Leadership Programme Fellow 2018, NUS
Established with generous gifts from Mr Chua Thian Poh, the Centre aims to nurture Singapore’s next generation of community leaders. These leaders will not only be intellectually engaged with social and community issues, but will also be passionate about addressing social and community challenges in Singapore.

Philip Yeo Innovation Fellowship 2017, NUS
Award with mentorship by Philip Yeo, Chairman of Spring Singapore.
I am fortunately also under the mentorship of Kiren Kumar (AMD, EDB) and Abel Ang (CEO, EDIS).

Valedictorian (Reserve) Class of 2018, NUS

Global Merit Scholarship 2014-2018, NUS
NUS top scholarship with only 4 awarded in NUS across all faculties for the year of my admission.
Full scholarship amounting to more than $100,000 covering tuition, allowance, accommodation, and overseas trips.

I&E Practicum Award 2017, NUS
$10,000 Award.

Dean’s List 2015/2016, NUS
Top 5% of my cohort.

Online Profiles


Languages, Libraries and Frameworks

Machine Learning Database General Programming
PyTorch Apache Cassandra C++
TensorFlow   Python
Keras   Bash Scripting
TensorLayer   LaTeX
cuDF/cuML (RAPIDS)    


I would like to thank all my readers for their encouraging participation on this Github page. I would also like to thank Github Pages for serving this respository of notes for free.

I would like to give full credit to the respective authors for their free courses and materials online like Andrew Ng, Data School and Udemy where my notes are from them. These personal notes are meant for my personal review but I have open-sourced my repository of personal notes as a lot of people found it useful.

Take note that I’m currently concentrating entirely on building materials for Deep Learning with PyTorch from mastering deep learning, to deploying deep learning algorithms in production, and to to solve many problems through Deep Learning Wizard.

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