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Hello, world!

My name is Dr. Kris Stern (PhD HKU, 2021; MPhil HKUST, 2016; BSc CUHK, 2012) and I am a Full-stack Software Engineer currently based out of Hong Kong. I am interested in physics, astrophysics, geophysics (through GIS), and computer science as academic pursuits, and would like to apply artificial intelligence / machine learning / algorithm to such studies, whether it is related to work or for my private interests. I am also fascinated by data visualisation, especially in the exploratory data analysis (EDA) performed on data cubes of many dimensions.

In my spare time, I like to play the violin. I also enjoy good music (of all sorts, including classical), sports analytics, history, public radio and TV (CBC, BBC, NPR), as well as current affairs.

Technology and Tools

Writing and Blogging

I maintain a blog at Medium, which I use primarily for my professional work.

GitHub Stats

Kris Stern's GitHub Stats

Top Languages

Kris Stern's Top Langs

Kris Stern's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

creditrisk icon creditrisk

This is a mirror of the CRAN R package repository. CreditRisk — Evaluation of Credit Risk with Structural and Reduced Form Models

decathlon-dreamshop-web icon decathlon-dreamshop-web

A demo for the interviewing for the Decathlon - Hong Kong Backend Senior Developer role - July 2021

devstack icon devstack

Get up and running quickly to develop or extend Open edX services

edgar-fetch icon edgar-fetch

For fetching financial statement filings from SEC's EDGAR and DERA

get-started-python icon get-started-python

A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.

gs-serving-web-content icon gs-serving-web-content

Serving Web Content with Spring MVC :: Learn how to create a web page with Spring MVC and Thymeleaf.

hey icon hey

HTTP load generator, ApacheBench (ab) replacement, formerly known as rakyll/boom

midasml icon midasml

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

midasmlpy icon midasmlpy

Python implementation of the midasml approach

mosql icon mosql

MongoDB → PostgreSQL streaming replication

stripe-payments-demo icon stripe-payments-demo

Sample store accepting universal payments on the web with Stripe Elements, Payment Request, Apple Pay, Google Pay, Microsoft Pay, and the PaymentIntents API. 💳🌍✨

superset icon superset

Apache Superset is a Data Visualization and Data Exploration Platform

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