We aim to make Hong Kong a better place by bridging the gap between people and technology.
Dr. Albert Au Yeung
Albert has been a machine learning researcher and engineer for more than 10 years. His specializations are machine learning, recommendation systems, and natural language processing. He held research positions at NTT Communication Science Labs in Kyoto, ASTRI, and Huawei Noah's Ark Lab in Hong Kong. Albert is also a part-time lecturer at the Chinese University of Hong Kong, teaching machine learning and network programming in Python.
Dr. Anushree Mahapatra
Anushree is passionate about combining machine learning techniques with conventional algorithms. With a research background in algorithms for convex optimization and graph methodologies, she loves to challenge herself with problems and predictions from machine learning and identify key problems essential to maximum productivity with applied machine learning.
Dr. Stan Yip
Stan is a data scientist who specializes in computational and Bayesian statistics. His professional experience is in atmospheric science and sport bookmaking. He has been an Assistant Professor at Hong Kong Polytechnic University, a Big Data Analytics Manager for the Hong Kong Jockey Club, and an Algorithm Developer for one of the largest bookmakers in the world.
Andrew is a tech investor and serial entrepreneur. He holds a Bachelor’s Degree and a Master’s Degree from the London School of Economics (LSE) and Cass Business School. He is a practitioner of Python and R and also dives into aspects of deep learning and NLP. His passion is to help businesses become more streamlined and as tech-driven as possible. He has a strong belief that we are the ones who are going to define how we should live, not the technology itself.
Patrick enjoys solving problems with statistics and machine learning. He is currently a senior data scientist at a virtual bank, specializing in quantitative modelling, text classification, and data visualization. Prior to that, he was a quantitative modeler for over four years in the sports trading industry, where he designed and developed predictive models and automated trading tools. Patrick firmly believes in the power of data science and the potential of its profound impact on the world.
Reiner De Guzman
Rein started his career as a successful professional boxer with 10 consecutive wins and an unbeaten record. As a self-confessed gadget addict and techie, he spent his free time learning how to code and eventually hung up his gloves for a career as a Data Scientist, specializing in data engineering and data pipeline.
As an avid practitioner of the User-Centered Design, Daniel is passionate about working with stakeholders, uncovering their needs, and designing meaningful experiences through co-creation. He believes design is more than just aesthetics and has the power solve problems of different scales for businesses, government, society, and people. He is also the Guest Lecturer for Design Thinking at Hong Kong Baptist University.
As the Senior PM at a unicorn travel startup, Vincent leads a growth-team of five with a focus on driving core company metrics, conversion and retention enhancement, and monetization. Prior to that, Vincent was on the growth-teams at driving acquisition channels, GoGoVan and OneSky. He's also a 2015 alumni of Reforge - a Silicon Valley founded program for growth professionals.
Morris is currently a Technical Specialist at Microsoft, with experience in hosting various data science and machine learning workshop at higher education institution such as City University and Polytechnic University. Prior to Microsoft, he is previously a data scientist at a e-commerce startup. He specializes in various data pipelines designs, such as model training and evaluation pipelines and data collection and cleaning pipelines.
Kayle likes to read and talk about anything that has to do with new technology. Despite her non-technical background, she is a perfect fit at Code for HK. Kayle is a natural musician and enjoys playing the guitar. If you ever hear somebody singing in our common area, it’s probably her.
We believe that the world would be a better place if everyone understood the basics of coding. At the same time, we have to be cautious that coding itself should not be the end goal. With the growth of AI, Big Data, Blockchain, and Machine Learning, we must remember that these are simply tools. They are a solution to a problem. At the heart of all of these tools is a human who created the code to bring them to life.
Learn to Think
Learn to choose the right tools to build the right solution for the right problem.
Our dream is to make Hong Kong a better place by supporting the growth of Big Data and AI technologies.
It is our mission to make Big Data and AI technologies accessible to every person and every organization in Hong Kong.
What they say
Seriously impressive school! Well-structured program combined with real-life projects. Definitely will recommend Code for HK to anyone wants to learn coding.
The curriculum has strike a great balance between rigor and practicality. It’s exciting to see how the quality of tech education in Hong Kong is matching that in Silicon Valley
Andrew is very committed to the tech community and I’m sure Code for HK is going to make a better tech ecosystem for all of us.
Dream team! Probably got the best teaching quality in town!
Coding is actually a lot more fun than I thought it was. I enjoy interacting with computers and learning how they work.