written by Eric J. Ma on 2016-03-17 | tags: philosophy science
Random thought came to my mind today.
The process of science is the careful observation, measurement, and falsification of hypotheses of the world. It is immensely useful. IMO, a worldview that gives rise to genuine curiosity,... (read more)
(208 words, approximately 2 minutes reading time)written by Eric J. Ma on 2016-03-15
In the software development world, I learned about the importance of writing tests for one’s software. Since then, I have incorporated this habit in my own work, where as part of my more recent work, I write tests for the software I write to... (read more)
(390 words, approximately 2 minutes reading time)written by Eric J. Ma on 2016-03-13 | tags: python data science statistics R
I’ve heard this refrain many times. However, the distinction never really made sense to me.
R and Python are merely programming languages. You don’t have to do stats in R and data processing in Python. You can do data processing in R, and... (read more)
(655 words, approximately 4 minutes reading time)written by Eric J. Ma on 2016-02-13 | tags: chalk talk public speaking research presentation influenza research broad institute seminar series audience interaction talk preparation slide decks whiteboard talk presentation skills feedback science communication infectious disease evolution
Yesterday, I shook things up at the Broad Institute's Infectious Disease Program seminar series by doing a chalk talk instead of a slide deck presentation. It was less stressful to prepare for, the audience was engaged, and I got some valuable feedback. 🎤🔬👥 I've learned a lot from this experience and I think chalk talks should become the norm again for research presentations. 📝💡
Read on... (475 words, approximately 3 minutes reading time)written by Eric J. Ma on 2016-02-09 | tags: data science software carpentry data carpentry
This past Monday, I led a hands-on session at the Broad Institute, showing how to use the scikit-learn API, as well as common coding patterns for running machine... (read more)
(526 words, approximately 3 minutes reading time)written by Eric J. Ma on 2015-12-03 | tags: influenza graduate school peer review thesis data science
I am happy to announce that, with my advisor's (Jon Runstadler, MIT) approval, I've uploaded my first 1st-author paper to BioRXiv. This may sound surprising, to document and write... (read more)
(1516 words, approximately 8 minutes reading time)written by Eric J. Ma on 2015-11-28
written by Eric J. Ma on 2015-09-28 | tags: data science drug resistance academia grad school
A blog post detailing how I built a model to predict drug resistance from HIV protease sequence.
Read on... (1533 words, approximately 8 minutes reading time)written by Eric J. Ma on 2015-09-03 | tags: data science deep learning neural networks
I have decided to link to my <a href="https://github.com/ericmjl/nnet-HA/blob/master/Prototype%20Neural%20Network%20for%20predicting%20HA%20host%20tropism.ipynb">Jupyter notebook</a> & <a href="https://github.com/ericmjl/nnet-HA/tree/master">github repository</a> instead of re-writing the whole post here. I hope you enjoy it! :)
Read on... (56 words, approximately 1 minute reading time)written by Eric J. Ma on 2015-08-18
When you think about software engineering skills, you probably don't think about the analytics types, or data scientist (DS) teams. This is a reasonable thought. Data scientists aren't in the business of building software, they're in the business... (read more)
(852 words, approximately 5 minutes reading time)