I’m a born and raised Trinbagonian. In 2011, I graduated from Princeton University with a B.S.E in Mechanical Engineering with a certificate (a.k.a minor) in Sustainable Energy. My interests in sustainability and learning about new cultures motivated me to apply for a Princeton in Africa Fellowship.
In 2011, I began a year-long Princeton in Africa Fellowship at Nyumbani Village, Kenya, managing the construction of rainwater harvesting systems for this rural community. This once-in-a-lifetime opportunity developed in me a deep interest in sustainable agriculture and natural resource conservation, and again I jumped back into the academic world to pursue a PhD in Agricultural and Biological Engineering with a minor in Computational Science at Penn State.

During my time at Penn State, I’ve worked with agroecosystem models to assess diverse agricultural landscapes for food and fuel and employed data-intensive data mining algorithms to exploit spatial environmental data related to soil modeling. In my current position, I lead the AI (artificial intelligence) effort at PlantVillage to diagnose crop diseases from smartphones and unmanned aerial vehicles. I’m currently working on diseases that affect cassava in East Africa.
I’m dedicated to science that contributes to alleviating constraints to food production. My work emphasizes data-driven techniques to address constraints to food security and environmental resources, especially in the developing world.
Check out my CV and Research Page for more info on my work. You can also find my code on GitHub.