Daniel Gerlanc

Daniel Gerlanc

Daniel Gerlanc has worked as a data scientist for more than decade and written software professionally for 15 years. He spent 5 years as a quantitative analyst with two Boston hedge funds before starting Enplus Advisors. At Enplus, he works with clients on data science and custom software development with a particular focus on projects requiring an expertise in both areas. He teaches data science and software development at introductory through advanced levels. He has coauthored several open source R packages, published in peer-reviewed journals, and is active in local predictive analytics groups.


Academic Statistical Consulting

  • Critchfield AC, Paulus JK, Farez R, Urato AC. “Abnormal Analyte Preeclampsia”: Do the second trimester maternal serum analytes help us to differentiate different types of preeclampsia? [Submitted to Pregnancy in Hypertension]
  • Paulus JK, Switkowski KM, Preston IR, Hill NS, Kari E. Roberts KE. Initiation of a Case-Control Study of Pulmonary Arterial Hypertension in Women. Poster presented at American Thoracic Society Annual Meeting, May 2012.

Invited Talks

R Packages

  • bootES: An easy to use interface for calculating bootstrap effect sizes in R.
  • portfolio: Classes for analysing and implementing equity portfolios.
  • backtest: The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).


  • Genetic Association Studies - Teaching Assistant - Tufts University Medical School - 2013
  • Computation for RNA Sequencing - Teaching Assistant - Tufts University Medical School - 2013
  • Introduction to Data Science and Machine Learning – General Assembly Boston – July, 2013
  • Introduction to Python and Pandas for Data Analysis - Corporate Training - 2016 - Present


  • New England AI Meetup: Organizer. Responsible for coordinating speakers for NEAI monthly events.
  • Boston Data Mining: Co-Founder and Organizer
  • Venture Cafe: Volunteer