News


Welcome Karim, November, 2020

Karim, a first year Computer Science student, joined the Goldman lab as an undergraduate researcher. He is planning to double major in Cognitive Science, with an emphasis in Neuroscience.
Click here to see his project for HackDavis 2021

Congratulations to Rachel, October, 2020

Rachel received her PhD and moved back to Salt Lake City to start a new position as an Associate Bioinformatics Scientist at IDbyDNA, Inc.

Congratulations to Rob, July, 2020

Rob accepted a position as an Assistant Professor of Teaching at Wildlife, Fish and Conservation Biology
at the College of Agricultural and Environmental Sciences, UC Davis.
Click here to view Rob’s UC Davis profile

Congratulations to Dr. Goldman, April, 2019

He was appointed to the Joel Kiezer Endowed Chair in Theoretical and Computational Biology
Click here to view this article

New article in elife, February, 2019

Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience.
Click here to view this article

See you at Society for Neuroscience, November, 2018

Ali Alemi – Click here to see the poster
Jay Bhasin – Click here to see the poster
Emily Mackevicius – Click here to see the poster

Click here to view SfN News

Methods in Computational Neuroscience in August, 2018

Dr. Goldman teaches the Methods in Computational Neuroscience (MCN) course at the Marine Biological Laboratory in Woods Hole, MA. This course introduces students to computational techniques that are used to analyze data and model systems ranging from single membrane channels to the operation of the entire brain.
Click here to view course’s lectures

Congratulations to Tom, started working at Allen Institute For Brain Science in July, 2018

Click here to learn more about the Allen Institute

NIH Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative in July, 2017

Goldman lab collaborates with Princeton researchers to develop novel statistical analysis and modeling techniques to deal with the increasing size and complexity of datasets in neuroscience.

NIH NEWS
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