Warren L. DeLano Memorial PyMOL Open-Source Fellowship

About the Fellowship

The Warren L. DeLano Memorial PyMOL Open-Source Fellowship is awarded by Schrödinger to supplement the income of an outstanding member of the PyMOL open-source community so that s/he can continue to develop free resources to help scientific progress and the community as a whole. This fellowship is named in honor of the original author of PyMOL, Warren DeLano, who sadly passed away in November of 2009.

Fellows perform their proposed tasks and submit written progress summaries every quarter. Schrödinger reviews the fellow's progress and, upon a positive review, the fellow is given a stipend of $3000 USD. Thus, each successful fellow receives a total stipend of $12000 USD per year.

How to Apply

Fellows are selected based upon their contribution to PyMOL's open-source scientific community. Those who selflessly give of themselves to help promote scientific progress, open-source projects, and PyMOL are considered.

Interested applicants should send one e-mail including the following to jarrett.johnson@schrodinger.com.

  • Cover letter
  • Current CV
  • Two page project proposal

A committee reviews all applications and announces the new fellow.

Deadlines

Application deadline for the 2022-2023 term is Friday, August 26, 2022!

Fellows

Yuting Chen and Haoling Zhang (2022-2023)

Yuting and Haoling will work on a suite of scripts and tools to aid the generation of manuscript figures in a quick and efficient manner.

They will also help maintain the PyMOLWiki and pymol-users list.

Github link for PyMOL-PUB. We are also pleased to announce that their work has also been published in Bioinformatics!

Blaine Mooers, PhD (2018-2019)

Blaine will work on his PyMOL snippets library and develop supporting material to improve its accessibility and ease of use.

Blaine will also help maintain the PyMOLWiki and pymol-users list.

Mateusz Bieniek and Paul Smith (2018-2019)

Mateusz and Paul are our first fellow "team". Together they will work on tools for molecular dynamics analysis.

They will also help maintain the PyMOLWiki and pymol-users list.

Julian Heinrich, PhD (2015–2016)

Julian will work on automated view selection for molecular structures.

Julian will also help maintain the PyMOLWiki and pymol-users list.

Osvaldo Martin, PhD (2014–2015)

Osvaldo will work on extending PyMOL's capabilities to visualize and model glycans and glycoconjugated molecules.

Osvaldo will also help maintain the PyMOLWiki and pymol-users list.

Jared Sampson (2013–2015)

(2014-2015 project) Jared will work on a MolProbity plugin for PyMOL.

(2013-2014 project) Jared will focus his efforts on extending PyMOL's file writing capabilities to include support for COLLADA and other 3D formats.

Jared will also help maintain the PyMOLWiki and pymol-users list.

Tsjerk Wassenaar, PhD (2013–2014)

Tsjerk will augment PyMOL's ensemble-based analysis capabilities by adding real-time PCA and results visualization.

Tsjerk will also help maintain the PyMOLWiki and pymol-users list.

Thomas Holder (2011–2012)

Improving and extending the PyMOL plug-in architecture, including: script repository, GUI for fetching, package-based installation, saved user preferences, backwards compatibility, and more. Thomas will also help maintain the PyMOLWiki and pymol-users list.

Michael Lerner, PhD (2010–2011)

Further development and maintenance of the open-source APBS Plugin for PyMOL and regular maintenance of the community-based PyMOLWiki.