Wade Rosko

About

I'm currently applying my background in complexity science, physics, and computational methods to work on applied problems within the growing field of network science, machine learning (with a focus on graph and NLP techniques). At present I'm helping Doctor Evidence build a new product to assist the biotech and pharma industry. After discovering complex systems and their relation with computational methods in my Physics B.A. studies at Bates College, I pursued a M.Sc. in Complex Adaptive Systems (Applied/Computational Physics) at Chalmers University of Technology. In my second year I wrote a machine learning, data science, and computational biology industrial thesis with Kaleido Biosciences which motivated me to continue applying my skills in the relatively untapped field of biological complexity. I then worked at Cellarity for two years where I worked on knowledge graphs, NLP, knowledge representation and knowledge learning problems. Looking forward, I wish to continue expanding my expertise in complexity science by focusing on various machine learning/data science and systems modeling methods, knowledge graphs, graph theory/network analysis and stochastic optimization. Outside o

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