30 Jun 2020

FASTER Live AMA: FilipinxAms in Healthtech + Safety During COVID19

Charity will discuss her background as a health and safety expert, the Return to Work Guidelines and her current work with various tech companies on re-opening during COVID19 and its impact on communities and communities of color.

Eric will discuss his professional background in healthtech and technical and creative contributions in STEAM in general and also by communities of color during COVID19.

11 Oct 2017

Data Science Philippines: Causal Inference and Big Data

This talk provides a high-level, fairly non-technical introduction to causal discovery using big data; i.e., how to carefully draw causal conclusions from big data analyses. Two general, complementary approaches for causal discovery will briefly be illustrated in the context of big data analysis: 1.) mechanism-focused and structural approaches using causal graphs, and 2.) the effect-focused statistical framework of potential outcomes (emphasis on the latter).

15 Mar 2017

Three Statistically Significant Principles

This is a short presentation I gave at the Quantified Self Bay Area Meetup event titled "Show & Tell #41" on March 15, 2017.  Summary:

  1. Big data does not imply big accuracy. (S)

  2. Significance does not imply importance. (S)

  3. Correlation does not imply causation. (P)

  4. Causation can imply correlation. (P)

Aug 2011

A Statistical New World

Some excellent grad school friends of mine created this fun musical take (based on Disney's "A Whole New World") on what it's like to be a statistician---and asked me to perform and handle music production! From the 2011 American Statistical Association "Promoting the Practice and Profession of Statistics" Video Competition.