I am a final-year Analytical Chemistry PhD student at Iowa State University, advised by Prof. Robbyn Anand in the Anand group.
My work sits at the intersection of wet-lab chemistry and artificial intelligence. As an interdisciplinary researcher, I design and deploy machine learning and computer vision pipelines to analyze single-cell data, automate microfluidic workflows, and build advanced platforms for cancer detection. I am deeply passionate about leveraging ML to accelerate scientific discovery, automate complex analyses, and extract meaningful insights from intricate biological data.
Before starting my graduate work, I obtained a B.A. in ACS Chemistry with a minor in Mathematics from Concordia College, where I focused on analytical instrumentation and GC/MS method development.
Outside the lab, I channel my curiosity into building personal software tools, designing for the web, and exploring DIY maker projects.
If you would like to connect, feel free to reach out via email or on LinkedIn.
