Click here to learn about Academy events, publications and initiatives around COVID-19.

We are experiencing intermittent technical difficulties. At this time, you may not be able to log in, register for an event, or make a donation via the website. We appreciate your patience, and apologize for any inconvenience this may cause.

Support The World's Smartest Network

Help the New York Academy of Sciences bring late-breaking scientific information about the COVID-19 pandemic to global audiences. Please make a tax-deductible gift today.

This site uses cookies.
Learn more.


This website uses cookies. Some of the cookies we use are essential for parts of the website to operate while others offer you a better browsing experience. You give us your permission to use cookies, by continuing to use our website after you have received the cookie notification. To find out more about cookies on this website and how to change your cookie settings, see our Privacy policy and Terms of Use.

We encourage you to learn more about cookies on our site in our Privacy policy and Terms of Use.

Frances Knight

Frances Knight

Project Consultant

Frances is a part-time PhD candidate at the London School of Hygiene and Tropical Medicine working on an IMMANA-funded research project on the development of a modelling tool for developing food-based recommendations that are optimised across both nutritional and agricultural indicators. Complementing this research theme, Frances supports the work of the modelling consortium under the Sackler Institute and is exploring the processes used to apply the represented modelling tools in different contexts and methods for communicating the methods and results from these tools to an array of stakeholders. Frances also works with the World Food Programme Fill the Nutrient Gap Analysis, which integrates linear programming analysis using Cost of Diet and Optifood with Situation Analysis to inform nutrition programming and policy.

Previously, Frances has worked as a Research Fellow with LSHTM within African and South Asian-based Agriculture and Nutrition research projects and further development of the Optifood Linear Programming tool. Frances has also worked with FANTA, GAIN and WHO in Europe, Africa, South Asia and Central America, conducting nutrition modelling analysis and trainings as well as qualitative trials to test the feasibility and acceptability of food-based recommendations developed using modelling tools.

Frances has a Masters Degree in Nutrition for Global Health from LSHTM.