Anthony Clemens Email & Phone Number

Goleta, California, United States

• Perform research and development in support of analytical instrument products including Eclipse field-flow fractionation (FFF) systems, and fluidic channels.

Goleta, California, United States

• Performed research and development in support of analytical instrument products using fractionation, fluidic channels, and refractive index detectors.
• Conducted experiments to test R&D prototypes; collected and analyzed data.
• Prepared test reports using statistical techniques to characterize performance, repeatability, and manufacturability of prototypes and production instruments.
• Performed Root Cause Analysis (RCA) on malfunctioning products, parts, and instruments.
• Prepared documentation associated with Document (Design) Change Orders for releasing prototypes/parts to production, updating bill of materials, or work instructions.
• Assisted manufacturing in troubleshooting production instruments, tools, and procedures.

Goleta, California, United States

• Performed QC tests and calibrations on new and repaired instruments, including refractive index (RI) and multi-angle light scattering (MALS) detectors, size-exclusion chromatography (SEC) columns, and field-flow.
• Experience with plumbing and operating high-performance liquid chromatography (HPLC) systems including pumps, filters, degassers, autosamplers, UV detectors, and injector boxes for both SEC-MALS and FFF-MALS systems.
• Primarily responsible for testing FFF systems, including assembling and validating different channel designs, validating membranes, testing separation systems, testing fractionation modules, and making mobile phase.
• Worked with software, quality assurance, manufacturing, service, and research and development teams to verify release candidates, assist in the early validation of requirements, and provided lab services during.

• Project: Reinforcement Learning
• Used openAI gym to train neural networks to solve the cartpole control problem in simulation
• The cartpole control problem features a pole balanced on top of a cart that can either move left or right. The objective is to keep the pole balanced on top of the cart for as long as possible.
• Implemented two solutions: A Deep Q-Network (DQN) algorithm using keras, and a Neuroevolution of Augmenting Topologies (NEAT) genetic algorithm using neat-python
• A full overview of this project can be found at this link: https://github.com/ajclemens/reinforcement_learningProject: Self-driving Car AI
• Used Udacity’s driving simulator to train a convolutional neural network (CNN) to map car camera views to steering angles

• UCSB chemical engineering senior design project. The culmination of four years of chemical engineering
• Conceptual design of chemical plant
• Included modeling reacting flows within a plug flow reactor using chemical kinetics in order to optimize reactor conditions, designing multicomponent distillation columns, building plant in Aspen HYSYS, and.
• Final report can be found at this link: https://drive.google.com/file/d/1QQMyLsIDwrJ7fDU-jJn5pQPK9Eqmh_-l/view?usp=sharing

Santa Barbara, California, United States

• Project: Design, build, and calibrate a doping chamber to dope thin film polymers via the vapor phase, integrate a quartz crystal microbalance, and accurately quantify/model the mass transfer
• Successfully setup a quartz crystal microbalance, including the software, and the necessary water cooler for high temperature operation
• Created 3D models of doping chambers in SolidWorks
• Produced polymer solutions, prepared quartz substrates, and spin cast polymers to substrates
• Used UV-Vis spectroscopy, X-ray Photoelectron Spectroscopy and stylus profilometry
• Derived an analytical model to predict mass transfer and validated model against data

Bachelor Of Science - Bs, Chemical Engineering, 3.55

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