Eric J Ma's Website

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Science and Applied Science - The Philosophies

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)
Tests-Enabled Science

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)

(378 words, approximately 2 minutes reading time)
R for Statistics, Python for Data Processing?

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)

(552 words, approximately 3 minutes reading time)
Chalk Talk

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... (426 words, approximately 3 minutes reading time)
scikit-learn tutorial

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)

(489 words, approximately 3 minutes reading time)
Reticulate Evolution and Microbial Ecology

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)

(1492 words, approximately 8 minutes reading time)
Profiling PyPy vs. Python for Agent-Based Simulation

written by Eric J. Ma on 2015-11-28

Outline

  1. Introduction:
    1. Motivation
    2. Model description
    3. Link to code
  2. Environment Setup
  3. Performance
    1. Python vs. PyPy on one parameter set.
    2. Vary number of hosts, record... (read more)

      (1188 words, approximately 6 minutes reading time)
Predicting HIV Drug Resistance Phenotype from Genotype

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... (1390 words, approximately 7 minutes reading time)
In Which I Trained A Neural Network :)

written by Eric J. Ma on 2015-09-03 | tags: data science deep learning neural networks

I have decided to link to my Jupyter notebook & github repository instead of re-writing the whole post here. I hope you enjoy it! :)

Read on... (24 words, approximately 1 minute reading time)
Software Engineering Skills for Data Analytics

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)

(840 words, approximately 5 minutes reading time)
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