17th July 2017 – Egle Marija Ramanauskaite, Technarium hackerspace & Human Computation Institute

Egle Marija RamanauskaiteEgle Marija Ramanauskaite (@seplute) received her Master’s in Molecular & Cellular Biology in 2011 and carried out professional research focusing on microbial evolution and antibiotic resistance of nosocomial bacterial. However, she soon left traditional academia to pursue more open modes of science. She has become involved with citizen science & DIY science in 2014, and has pursued the movements as a researcher and a participant ever since. In 2016 Egle defended a second Master’s degree in Education Science based on informal science & technology learning in hackerspaces. Egle currently runs a biohacking lab at Technarium hackerspace, Lithuania, where anyone can engage in molecular biology with DIY tools & equipment. One of the main projects in the lab is “Lichen Biohacking” looking for new natural products in the vast biodiversity of lichens in Lithuania.

Egle is also the Citizen Science Coordinator for the EyesOnALZ project at the Human Computation Institute (US), which is the first citizen science endeavor to accelerate Alzheimer’s disease treatment research. Stall Catchers – an online game developed as part of the EyesOnALZ project, allows anyone to analyze real Alzheimer’s research data, speeding up the process by orders of magnitude and enabling researchers at Cornell University to answer key questions about the role of reduced blood flow in the brain in the development of Alzheimer’s disease.

On top of these roles, Egle is an eager science communicator and has written extensively on the topics of molecular biology, biomedical science, citizen science and the maker/hacker culture in English and Lithuanian, and is creating her own citizen science rubric for a grassroots Lithuanian science popularization show – “Mokslo sriuba” (“Science Soup”).

Advertisements

13th March 2017 – Darwin Fu, Vanderbilt University

Darwin FuHello Biotweeps! I’m Darwin, a Chemistry PhD student in my final year (*knocks on wood* *prays to the ancient gods*) at Vanderbilt University. I spend my day writing programs for modelling how drug molecules interact with their targets. The goal is to improve our ability to use computers to predict which compounds will bind to a given disease target and the way they will bind. Better computational, or “dry lab”, experiments complement traditional “wet-lab” experiments, which can often be very time consuming.

I work in the lab of Dr. Jens Meiler (http://meilerlab.org) coding mostly for Rosetta (http://rosettacommons.org/), a software package for structural biology modeling. Rosetta is a collaborative project with 40+ research labs around the world actively developing methods for everything from designing catalytic sites of enzymes to predicting binding of HIV antibodies. You may have come across Rosetta in the form of Rosetta@Home, a citizen science distributed computing project, or through FoldIt, a computer game that converts unsolved protein structures into puzzles for players (see https://boinc.bakerlab.org/ and https://fold.it/portal/). You may have also heard about our recent exploration of comet 67P (just kidding, that is completely unrelated).

My research is focused on protein-small molecule docking and virtual screening for Computer-Aided Drug Design applications.  Depending on available collaborations, we work on systems ranging from G-Protein Coupled Receptors to Signal Transducer and Activator of Transcription proteins. Part of the job involves making computational tools more accessible to researchers who may be less well-versed in modelling. This usually means making tutorials, web servers, and graphical interfaces. I would love to continue along these lines after graduation and work in scientific software development. I am also interested in researching rare diseases and using modeling to repurpose “failed” compounds to structurally similar targets.

My undergraduate degree is in Chemical Engineering and Biochemistry from the University of California, San Diego. I had a choice between working on hands-on biomaterials research and molecular dynamics modeling of influenza infections. I chose the latter and went down a computational research path. I planned to do more biochemistry in grad school but a few weeks in the cold room and my terrible gel loading skills quickly changed that.

Besides research, I’m interested in science communication and citizen science, particularly for adult education. I also moonlight as a pub quizmaster and connoisseur of “weird” foods. My non-science dream job would be working in sports analytics. Feel free to talk sports, trivia, or odd eats with me (also scotch…yum).

Sadly, there won’t be as many relevant cute animal GIFs over the course of this week, but I promise there will be dancing protein animations instead. I hope to share my love of computer modelling and to learn more about computing applications in your fields. I am also in the process of starting a new outreach effort and would love some input. There may also be a little structure based contest with a nerdy prize. Stay tuned!

Reach me via Twitter (@EquationForLife) or check out the blog I’m restarting (https://equationforlife.wordpress.com/)