Our preprint on the Gilda grounding system is now available on bioRxiv: The COVID-19 Disease Map to which the INDRA, EMMAA, CLARE and Bob systems have contributed in various ways is now published in Molecular Systems Biology. I was awarded the DARPA Young Faculty Award ( ) for 2020-2022Īn interview in Harvard Medicine News about my YFA award and ongoing projects is available at. I was invited to give the first ISCBAcademy semniar for SysMod COSI, the recording is available here: I was an invited participant and speaker at the NSF Workshop on the Future of Protein Functional Annotation in Orlando where we discussed an action plan for integrating and making accessible all available knowledge about proteins and their families. I was invited to the 1st Workshop on Nobel Turing Challenge where I presented on "Large-scale Knowledge Assembly for Hypothesis Generation and Human-machine Interaction" I presented at the Knowledge Graph Conference on automated knowledge graph assembly and human-machine interaction for biomedicine: In June 2022 I received the DARPA Director's Fellowship Award to continue my team's work started as part of my DARPA Young Faculty Award. In August 2022, I started the MIRA project as part of the DARPA ASKEM program whose aim is to accelerate scientific modeling. in computational systems biology from the National University of Singapore where he worked on probabilistic approaches to modeling uncertainty in biological systems. He is also working on a human-machine communication system which allows scientists to interact with a computer partner to construct and test hypotheses about molecular systems. Ben developed INDRA, a software tool which automatically assembles biochemical mechanisms extracted from the scientific literature into explanatory models. He is the recipient of a DARPA Young Faculty Award for 2020-2022 and the DARPA Director's Fellowship Award for 2022-2023.īen's research is at the intersection of systems biology, bioinformatics and artificial intelligence, and aims to understand how biological cells work and react to drugs and environmental signals using computational approaches.
Ben leads the Machine-assisted Modeling & Analysis team at the Laboratory of Systems Pharmacology, Harvard Medical School.
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