Kevin Shen Email & Phone Number

Materials science research and development is slow, arduous, but of utmost important to our future. I help companies find and develop AI solutions to accelerate their materials development.AI highlights:- Integrate LLMs with knowledge graphs to mine and discover scientific insights from literature- Built green chemistry screening data and AI pipeline, leveraging graph neural network techniques- Invited speaker at ACS Fall 2024 and Volta Foundation Battery BrunchProduct Highlights:- Conducted user experience research to map out opportunity and solution spacesBusiness Highlights:- Designed, closed, and collaborated on delivery of $X mm of customer projects, including at Fortune 100 companies- Led AI solutioning workshops with senior stakeholders (C-Suite)- Work with stakeholders on go to market strategyMachine Learning · AI Strategy · Solution Architecture · Sales Engineering

Santa Barbara, California, United States

Making new biomaterials by leveraging computation.Developed a new, efficient multi-scale modeling method based on the mathematical concept of information projections.Led internal team addressing high-value areas for computational acceleration of our institute's materials genome mission to unify synthetic chemistry and synthetic biology. Build machine learning and cheminformatics model to predict novel biomonomers for polymerization.

Santa Barbara, California Area

Industrial collaboration with BASF, Kraton, and Dow.Developed novel workflow to connect detailed atomic models with large-scale simulations, facilitating computation-aided materials and formulations design (surfactants, polymers).Worked with industry partners to deliver effective scientific solutions that match their business needs.Mentored team of 4 early career scientists: technological ramp-up, presentations, technical writing.

Coordinated with student science policy groups in the West and across the country, sharing ideas and experiences.Won Union of Concerned Scientists "Science for Public Good" grant to fund our group's activities.Led campus discussion, invited panel (featuring an energy analyst, utilities representative, public servant), and organized activism event to raise public awareness and literacy regarding California's energy transition.

Pasadena, California

Investigating the physics of drug and gene delivery systems through the study of viral self assembly. Combination of theoretical and simulation work developing the statistical mechanics of charged systems. Developed new self-consistent field theory that couples polymer conformations with thermodynamic properties.NSF Graduate Research Fellow, funded 2014-2017Outstanding TA award, 2015: ChE 148 Polymer PhysicsOutstanding TA award, 2014: ChE 164, Statistical Mechanics

Taipei City, Taiwan

Simulations of nanoscale systems for technological applications. Colloidal hydrodynamics and DNA dynamics in nanochannels.

Exploring deformability as a means of cell sorting. Combination of theoretical and computational work.

Researched boolean functions and various approaches to resolving the Entropy-Influence conjecture.

Designed proteins, particularly Lac Repressor, using a combination of molecular biological techniques and computational and empirical studies to inform design. Designed experiments and assays.

Taught groups of kids English for a summer in China. Designed own lesson plans. Explored and Experienced China.

Phd Candidate, Chemical Engineering

Activities and Societies: Science and Engineering Policy at Caltech (SEPAC, student group)

Bachelor'S Of Science, Chemical Engineering And Applied Mathematics

Bachelor Of Science (B.S.), Chemical Engineering And Applied Mathematics