John Wehrli

Background

About John Wehrli

Life Sciences corporate/intellectual property lawyer with 38 years industry experience ranked among the Top 25 Biotech Lawyers in California by the Daily Journal and named 2022 Lawyer of the Year in Biotechnology & Life Sciences by Best Lawyers. Practice in a global law firm with offices in U.S, Europe & Asia. Structure and negotiate global bet-the-company strategic transactions including strategic alliances, collaborations, corporate partnering, joint-ventures, spin-outs and strategic M&A for biotechnology, pharmaceutical, and neurotech companies. Negotiate intellectual property transactions for all phases of product research, development, and commercialization. Strategic business and scientific adviser and lead intellectual property lawyer for investment banks, private equity firms, and venture capital firms on public offerings, private equity and venture capital investments, and for buyers in M&A transactions. My Ph.D and other graduate research included applying the tools of computational science and engineering (CSE) to the field of behavioral neuroscience by using neurocomputational mathematical modeling of nonlinear dynamics using AI, machine learning, deep learning ANN, and genetic algorithms based on Bayesian priors to study the system dynamics of dopaminergic neural networks associated with polymorphic allele genotypes and to identify predictive endophenotypes associated with neuropathological behavioral phenotypes of and behavioral response inhibition. I am also a core member of a research team on Parkinson's disease looking at dopaminergic systems under a $6.4 million grant from the Templeton Foundation. Experienced in: Life Sciences, intellectual property, strategic transactions, licensing, due diligence, corporate law, mergers & acquisitions, quantitative economics, physical organic & protein chemistry, systems biology, behavioral neuroscience, cognitive neuroscience, robotics, laboratory automation, non-linear dynamical systems theory, computational science & engineering (CSE), mathematical modeling and simulation, computational mathematics, mathematical statistics, statistical mechanics, software engineering, machine learning, deep learning, AI, computational chemistry, computational biology, and computational neuroscience.