Kasper Lage Invited Speaker at Biogen
Kasper was invited to speak at the Biogen main campus, Cambridge, USA on his labs approaches to interpreting genetic data using computational network models.
Kasper Lage invited speaker at the Human Genetics Seminar Series at the David Geffen School of Medicine UCLA
For more information click here.
Anika Gupta joined the Lage Lab
Presentation of GeNets by John Mercer at 2015 Annual Meeting of the American Society of Human Genetics
John Mercer was selected to give a Platform Talk at the ASHG 2015 meeting in Baltimore October 6-10 2015 – the largest genetics meeting in the world. John presented in session 25 “Powering Up Complex Trait Genetics” on the Broad Institute Web Platform for GeNome Networks – GeNets.
For more information about GeNets : GeNets
For more information about ASHG Talk: Powering up complex trait genetics
John Mercer presenting at ASHG 2015
Reviewer’s Choice nod for Heiko Horn’s American Society of Human Genetics poster
Heiko Horn’s poster “A comparative analysis of network mutation burdens across 21 tumor types augments discovery from cancer genomes” was chosen to be amongst the top 10% of posters at the meeting of the American Society of Human Genetics in Baltimore.
See more about Heiko’s work here
Heiko presenting at ASHG 2015:
Taibo Li named Best MIT Student in Engineering
Today it was announced that Taibo Li was awarded the Henry Ford II Scholar Award from MIT’s School of Engineering. This award goes to the undergraduate who at the end of his or her third year of study at MIT has achieved the highest academic standing. Congratulations on this remarkable award Taibo.
Read more here: Henry Ford II Award for Taibo Li
April Kim joined the Lage Lab
Kasper Lage Invited speaker at the weekly series of talks at the Oxford University Wellcome Trust Center For Human Genetics
For more information click here.
Heiko Horn presented his work at the meeting of the Program in Medical and Population Genetics at the Broad Institute.
The title of Heikos Talk: “Network Mutation Burdens Predicts New Candidate Cancer Genes”.