Takis is promoted to full Professor
Starting in November, Takis will be a full Professor of Computational and Systems Biology with joint appointment in the Department of Biomedical Informatics and the Department of Computer Science. Congratulations!
Category: News
AJ and Takis present at CSHL meeting
AJ and Takis presented the laboratory’s most recent work at the Cold Spring Harbor Laboratory meeting on “Probabilistic Modeling in Genomics” (October 14-17, 2015).
Dimitris is joining the lab
Benos’ lab welcomes its new member, Dr. Dimitris Manatakis. Dimitris has received his PhD in Computer Science from University of Athens, Greece.
Klea is joining the lab
Benos’ lab welcomes its new member, Dr. Klea Panayidou. Klea has received her PhD in Statistics from Oxford University and before joining the lab, she worked as postdoctoral fellow at the ETH, Zurich, Switzerland.
Another R01 award
Profs. Benos (Pitt) and Kaminski (Yale) were awarded by NIH 2.9M over four years to perform genomic analysis to study the tissue and cellular heterogeneity in IPF. Understanding the molecular networks that underlie disease tissue characteristics will lead to better understanding of the disease, its mechanism and will eventually help …
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AJ and Takis present at CSHL meeting
AJ and Takis presented the laboratory’s most recent work at the Cold Spring Harbor Laboratory meeting on “Probabilistic Modeling in Genomics” (October 14-17, 2015).
Dimitris is joining the lab
Benos’ lab welcomes its new member, Dr. Dimitris Manatakis. Dimitris has received his PhD in Computer Science from University of Athens, Greece.
Klea is joining the lab
Benos’ lab welcomes its new member, Dr. Klea Panayidou. Klea has received her PhD in Statistics from Oxford University and before joining the lab, she worked as postdoctoral fellow at the ETH, Zurich, Switzerland.
Another R01 award
Profs. Benos (Pitt) and Kaminski (Yale) were awarded by NIH 2.9M over four years to perform genomic analysis to study the tissue and cellular heterogeneity in IPF. Understanding the molecular networks that underlie disease tissue characteristics will lead to better understanding of the disease, its mechanism and will eventually help …