2019-20 C. David Naylor University Fellowship recipients

Congratulations to Joel Goodwin and Seshu Iyengar, winners of this year’s C. David Naylor University Fellowship! Funded by Arthur and Sandra Irving, the fellowships were established to support outstanding students from the Atlantic Canadian provinces who demonstrate academic excellence and community commitment and who are entering the first year of a full-time doctoral or doctoral-stream program. Learn more about the award.


Joel Goodwin, 2019-20 Recipient, C. David Naylor Fellowship
Joel Goodwin

“I hope one day I will be able to give back to others as they have given back to me.”

– Joel Goodwin

Joel Goodwin, born and raised in New Glasgow, Nova Scotia, is passionate about forest insect pest management. He developed this passion during his MSc at Acadia University, where he explored “the visual, olfactory, and acoustic cues which are attractive to the invasive beech leaf-mining weevil, a pest of American beech trees in Nova Scotia.”

During his PhD, Joel will enrich and expand his area of focus, studying “trap optimization in Northern Ontario and Central Louisiana for bark (Ips spp.), woodboring (Lamiinae and Cerambycidae spp.), ambrosia (Trypodendron lineatum), and associated beetle species.”


“Beyond the financial stability, being nominated for and receiving this award was an honour which gave me the confidence in my ability to be a graduate students; the Naylor Fellowship demonstrates a strong belief in the contributions Atlantic Canadians can make in academic research.”

– Seshu Iyengar

Seshu Iyengar is a native of Fredericton, New Brunswick. He completed two Bachelors degrees concurrently at the University of New Brunswick: a Bachelor of Arts with honours in Philosophy, and Bachelor of Science with honours in Biology-Physics and a minor in Mathematics.

Seshu Iyengar, 2019-20 Recipient, C. David Naylor Fellowship
Seshu Iyengar

Seshu has brought his interest in multidisciplinary research to U of T, where, during his PhD, he will explore “how physical principles can inform modelling biological processes like ageing and how those principles can validate models theoretically in combination with experimental data.”


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