written by Eric J. Ma on 2022-04-01 | tags: data science pipeline programming style programming software development
I'm of the opinion that for most data science code, it makes more sense to write functions than objects. This probably isn't controversion, but if you're curious why, then this blog post explains my thought process.
Read on... (1012 words, approximately 6 minutes reading time)written by Eric J. Ma on 2022-03-31 | tags: data science software development software engineering
How treating data science projects like software development projects (plus more) helps you be maximally _effective_.
Read on... (2338 words, approximately 12 minutes reading time)written by Eric J. Ma on 2021-12-30 | tags: continuous integration github actions til
I recently figured out two tips to make GitHub actions play nicely with conda installations. Here they are.
Read on... (772 words, approximately 4 minutes reading time)written by Eric J. Ma on 2021-11-28 | tags: data science job hunt career careers
I've been involved in quite a few rounds of hiring. I've also seen a lot of LinkedIn posts by junior data scientists complaining about the state of the job market. In this post, I'd like to provide personal reflections on the hiring process that I've experienced written from the perspective of someone participating in the hiring team.
Read on... (1507 words, approximately 8 minutes reading time)written by Eric J. Ma on 2021-09-30 | tags: data science career faq
I've been asked some questions about my career trajectory, and thanks to a call with Zarrar Shezad, I finally decided to pen down my answers to career trajectory questions.
Read on... (1628 words, approximately 9 minutes reading time)written by Eric J. Ma on 2021-09-12 | tags: science paper catalysis enzyme engineering machine learning data science
This is a blog post I've been wanting to put out for a while. It's about [a really cool paper][acscatalysis] that I had the privilege of working on with colleagues at the Novartis Institutes for BioMedical Research (NIBR). If you have institutional access, you can read the paper [online][acscatalysis]. Here is my layman's summary of the paper. [acscatalysis]: https://pubs.acs.org/doi/10.1021/acscatal.1c02786
Read on... (2333 words, approximately 12 minutes reading time)written by Eric J. Ma on 2021-08-26 | tags: data science hiring moderna
Moderna's DSAI team, the team I'm on, is hiring! Read on to get links to the postings and get a glimpse into the inner workings of my head as I look through resumes.
Read on... (2278 words, approximately 12 minutes reading time)written by Eric J. Ma on 2021-08-23 | tags: programming ide tooling coding
I recently started experimenting with GitHub codespaces and I wanted to share a bit about my experience.
Read on... (1248 words, approximately 7 minutes reading time)written by Eric J. Ma on 2021-08-16 | tags: open source network science graph theory nxviz network analysis graph network
In this post, I formally introduce the `nxviz` package, a _rational_ network visualization package with beautiful defaults made for Pythonistas. I created it alongside many contributors, to whom I'm supremely thankful and indebted. Come learn more about `nxviz`!
Read on... (910 words, approximately 5 minutes reading time)written by Eric J. Ma on 2021-08-15 | tags: til network science graph theory
Does finding ancestors and descendants of a node apply to undirected graphs, or do they apply to directed graphs only? The answer is less intuitive than we might think.
Read on... (260 words, approximately 2 minutes reading time)