About

Hsin-Yi (Cindy) Yeh is a Senior Robotics Software Engineer at Kindred.ai with over 8 years of experience in advanced algorithm development for interdisciplinary projects. She has a solid understanding of motion planning, structural bioinformatics, computational biology, and robotics. With 8+ years of experience in robot and molecular motion simulation, she has developed a hands-on experience with project management, collaboration, and leadership. Prior to joining Kindred.ai, Cindy worked as a Robotics Software Engineer at the same company, where she developed her skills in software engineering and AI. She has also worked as a Research Assistant at Texas A&M University, where she was advised by Dr. Nancy M. Amato. During her time there, she developed a new technique for computing protein folding pathways and motions based on the probabilistic roadmap (PRM) method for robotics motion planning. She also developed a uniform sampling framework for the Probabilistic Roadmap method and applied it to study problems in robotics. She applied the uniform sampling framework to study ligand binding, particularly ranking the ligand binding affinity. Additionally, she developed a new robotic-inspired method to evaluate and improve the quality of decoy databases by adding and/or removing structures. Cindy's proficiency in C++, Shell Script, Python, and Linux has enabled her to develop tools that have dramatically reduced the time to study folding pathways by 90% and improved the efficiency to solve problems by 66% in average. Her work has also aided the development and testing of better scoring functions, which can produce a more rigorous decoy database and improve the quality of protein folding simulation by 40%. With 17.95 years of relevant experience, Cindy is a seasoned professional who is passionate about using her skills to solve complex problems. She is a software engineer and AI expert who is always looking for new challenges and opportunities to grow and develop her skills.