Resume

• 2001

  Dutch

  Spanish

  Doctor of Philosophy (PhD)

  As a graduate student I led a near-infrared imaging campaign that played an important role in identifying and uncovering the nature of massive galaxies early Universe. I developed a data reduction pipeline that was used to clean

  process

  combine

  and calibrate the data; this work produced the largest and most sensitive near-infrared images of the distant Universe available at the time

  and led to peer-reviewed publications by scientists spread across three continents. Thesis title: The Clustering of Massive Galaxies in the Early Universe.

  Astronomy and Astrophysics

  Yale University

• 1997

  BS (with Distinction)

  Physics

  Harvey Mudd College

• SQL

  Research

  Science

  IDL

  Astrophysics

  Numerical Analysis

  Data Analysis

  Data Mining

  Physics

  Image Processing

  Astronomy

  Scientific Communications

  Programming

  Statistics

  Spectroscopy

  Machine Learning

  Mathematical Modeling

  Scientific Writing

  Python

  Scientific Computing

  Quadri

  Texas A&M University

  Carnegie Institution for Science

  Smiths Digital Forge

  Mitchell Institute for Fundamental Physics and Astronomy

  Texas A&M University

  Insight Data Science

  Leiden University

  Developed an improved clustering algorithm to identify systems of galaxies

  and a new Monte Carlo approach to simulating galaxy evolution that led to novel results on the effect of dark matter on galaxy properties.\n\nAside from my personal research projects

  I helped lead the growing army of galaxy evolution researchers at Texas A&M

  including supervising two PhD students. I also played a leading role in a deep astronomical imaging project that involved coordinating the work of an international group of astronomers — and which led to new results on galaxy growth

  star formation

  the assembly of galaxy groups

  the relationship between galaxies and their environment

  and the role played by black holes. Finally

  I designed and led data analysis workshops for research students and established a program to instruct graduate students in pedagogical methods.

  Mitchell Institute for Fundamental Physics and Astronomy

  Texas A&M University

  Texas A&M University

  College Station

  TX

  Taught Introduction to Astronomy for non-science majors (130+ students)

  and gave a series of lectures in advanced undergraduate and graduate courses.

  Visiting Professor

  Performed extensive imaging and spectroscopy of distant galaxies

  focusing particularly on the most unexpected type: those that had stopped forming stars very early on in the history of the Universe.

  Carnegie Institution for Science

  NOVA Fellow

  Developed new techniques for classifying galaxies and estimating their distances. I also worked with collaborators to collect

  clean

  and collate public datasets

  and to release them along with value-added data products. I ran a galaxy evolution discussion group

  and served as an outside advisor to two large European astronomical collaborations.

  Leiden University

  Smiths Digital Forge

  Fremont

  CA

  Artificial Intelligence Scientist

  Consulted with Castle Intelligence to develop probabilistic methods to detect compromised user accounts.

  Insight Data Science