Tara Zepel

Papers

Total Citations

316

H-Index

About

Tara Zepel is a leading researcher at the intersection of synthetic chemistry, automation, and data science. Her work focuses on transforming how chemists design and execute experiments, with a particular emphasis on developing robotic platforms and computer vision tools to accelerate routine but critical laboratory tasks. Zepel’s major contributions include pioneering automated solubility screening systems that replace labor-intensive manual processes with high-throughput, computer-vision-driven analysis—a breakthrough that has garnered over 74 citations. She has also been instrumental in demonstrating how automation, combined with machine learning, can power data-driven discovery in chemistry, as highlighted in her highly cited work “Automated Experimentation Powers Data Science in Chemistry” (110 citations). Her influential perspective piece “Automation isn’t automatic” (128 citations) critically examines the challenges and misconceptions surrounding the adoption of lab automation, offering a roadmap for more effective integration. Through these contributions, Zepel has helped shape a new paradigm where robotics and AI are not just tools but essential partners in accelerating chemical research, making her a key voice in the movement toward self-driving laboratories.