Experimental Design and Automation

Expertise in developing and automating experimental setups, particularly for high-throughput and autonomous electrochemistry and polymer film deposition, using tools like custom 3D-printed components and robotic end effectors. [1]

Machine Learning and Data-Driven Optimization

Skilled in using machine learning models like Gaussian Process Regression to optimize experimental parameters and analyze complex data sets, with a focus on balancing multiple variables such as mean intensity and homogeneity in material properties. [1]

Surface Analysis and Imaging

Proficient in advanced imaging techniques for surface analysis, including the development of methods to assess film characteristics such as functionalization, homogeneity, and defect detection on the microscale using both traditional and custom optical setups. [2]

Electrochemical Polymerization and Material Characterization

Specialized in electrodepositing polymer films, managing parameters like crosslinking, synthesis conditions, and thickness to explore material properties and optimize performance based on electrochemical characteristics. [1]

Custom Hardware Development for Lab Automation

Experienced in designing and implementing custom hardware solutions, such as PDMS gaskets, Arduino-controlled lighting, syringe-based pipetting systems, automated micropipettes, electromagnets, and conductive connections tailored to unique experimental needs in polymer and materials research. [1]