A machine learning algorithm was developed that could reconstruct ab initio, the low resolution structure of a protein from its x-ray diffraction intensities alone.
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Algorithms were implemented in Python to correlate biomolecule manufacturing outcomes with process parameters, in order to improve the consistency and predictability of the manufacturing process…
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A collaborative, cloud-based software platform being developed for modeling complex cell signaling pathways. This platform implemented a stochastic modeling approach underpinned by a rigorous semantic formalism that made possible a set of powerful static analyses of the modeled systems.
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A joint bioinformatics and laboratory-based program for predicting and re-engineering immunogenic regions in biologics that would eventually become a part of the standard workflow for all new biologic development programs throughout a global pharmaceutical company…
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A commercial software-as-a-service (Saas) platform built on Amazon Web Services infrastructure, to allow biologists to collaboratively model and stimulate cell-signaling networks…
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Hidden Markov Model algorithms for searching protein sequences for potential prion-like, structured regions of proteins were implemented in an Open Source software platform available to scientists under the MIT License…
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An Amber principal was involved in the development of the open-source COSMOS Python library for managing large-scale sequencing workflows.
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