https://www.nature.com/articles/d41586-026-02980-w
QT{{”
Julia Hirschberg thought that she had reason to celebrate. In July, she had been elected to become a member of the European Academy of Engineering (EAE), an organization billed on its website as the “premier institution representing the highest professional distinction in engineering” with 35 Nobel laureates among its more than 400 elected members.
The accolade arrived just days after another unexpected honour: election to the Austrian Academy of Engineering. And in 2025, she had been elected to the National Academy of Artificial Intelligence (NAAI).
….
And that’s when things started to get weird. When Hirschberg checked the EAE’s website, her name was already prominently displayed atop the leadership masthead. But she had never agreed to take the post; she also had never been asked for references, nor had she attended a single meeting. “}}
Posts Tagged ‘cv57’
Exclusive: Sham scientific societies are misleading star researchers | Nature
October 24, 2026(55) Top 100 AI Leaders in Healthcare | LinkedIn
July 29, 2026https://www.linkedin.com/pulse/top-100-ai-leaders-drug-discovery-advanced-healthcare-colangelo/ 2019 list
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New Yale faculty receive honorary Master of Arts degrees | Yale News
December 31, 2024SciENcv: Science Experts Network Curriculum Vitae
April 25, 2024https://www.ncbi.nlm.nih.gov/sciencv/
https://www.ncbi.nlm.nih.gov/myncbi/mark.gerstein.2/cv/595523/ &
https://www.dropbox.com/s/n94s058ug0dkbjm/cv-595523.NSF-biosketch0mg-24mar22-ch4x57g.pdf?dl=0
login via era commons & then use login.gov OR use google acct
SciENcv: Science Experts Network Curriculum Vitae
March 24, 2022Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central
December 28, 2018https://onlinelibrary.wiley.com/doi/full/10.1002/asi.22970
QT:{{”
Appendix shows the top 20 most highly cited authors based on 546,245 citations from PubMed Central. In all three periods, M. Gerstein, a professor in computational biology and bioinformatics at Yale University, is
both the most highly cited and productive author in the first author category.
“}}
Biosketch Research Support section D from guidelines
October 11, 2018D. Additional Information: Research Support
QT:{{”
These instructions apply to all applicants who are completing the “Research Support” section.
List ongoing and completed research projects from the past three years that you want to draw attention to. Briefly indicate the overall goals of the projects and your responsibilities. Do not include the number of person months or direct costs.
Do not confuse “Research Support” with “Other Support.” Other Support information is not collected at the time of application submission. “}}
GitHub – ejfertig/NSFBiosketch: R markdown file to extract list of collaborators and affiliations from pubmed for NSF biosketch
August 27, 2017Highlights of 2016
March 26, 2017I recently had to complete my 2016 Faculty Activity Report (FAR), summarizing key lab “activities” of the past year.
* Here are dump directories with some excerpts:
http://archive.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/ http://files.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/
These include:
* A full updated CV describing my lab’s activities (in too much detail):
The CV is based on :
– Compiling the people in the lab, viz:
– A dump up to the end of ’16 of all of our scientific papers and our “other writings” too.
– There’s also an update on lectures in ’16:
http://lectures.gersteinlab.org/summary/
* Finally, I’ve done little write up of some highlights, viz:
During 2016 the lab had a number of research highlights. We have published three interlinked tools: Stress, Frustration, and
Intensification, for assessing the impact of rare genomic variants using knowledge of molecular structure. The tools are of particular interest to the medical genetics community because as they can help explain various cancer mutations as well as variants associated with genetic diseases. Another highlight is our publishing a framework for quantifying privacy risks as a result of linking clinical and phenotype variables. This paper is a timely work given the ongoing debate on data sharing. Apart from these works, we have a few research papers on topics in genomics, such as analyzing allele-specific binding and gene expression analysis, and several review articles on the role of non-coding variants, network comparison, and the cost of sequencing.
Regarding service, I worked on further developing the computational biology program at Yale. In particular, I co-chaired a committee about moving toward a Center for Biomedical Data Science at the Medical School. My lab served the research community in participating in many consortiums, such as PCAWG (the Pan-Cancer Analysis Working Group), the ENCODE consortium, PsychENCODE, 1000 Genomes’ structural variation group (and its follow-ons), and the Extracellular RNA Communication Consortium. In 2016, I gave talks and participated in many meetings, including an important data-science education forum at the Cold Spring Harbor Laboratory.
Regarding teaching, I further developed my course in Bioinformatics by including more practical hands-on materials. For example, we introduced a collaborative programming assignment utilizing the GitHub site.
(Private link, with authentication only for my reference:
http://facultyadmin.yale.edu/far/mark-gerstein)
For reference, this involved updating a variety of places on the wiki, viz:
http://info.gersteinlab.org/MBG-Profile
http://info.gersteinlab.org/Additional_Information_about_Personnel http://info.gersteinlab.org/Pubmed_query#Misc
