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.
Read MoreAlgorithms were implemented in Python to correlate biomolecule manufacturing outcomes with process parameters, in order to improve the consistency and predictability of the manufacturing process…
Read MoreA 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.
Read MoreA 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…
Read MoreA commercial software-as-a-service (Saas) platform built on Amazon Web Services infrastructure, to allow biologists to collaboratively model and stimulate cell-signaling networks…
Read MoreHidden 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…
Read MoreAn Amber principal was involved in the development of the open-source COSMOS Python library for managing large-scale sequencing workflows.
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