April 22, 2025 - Laurianne Paravisini, PhD & Richard Whitcomb, Osmo
From Leto Solla
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Laurianne Paravisini, Ph.D. & Richard Whitcomb, Osmo
Speaker Bios
Laurianne Paravisini, Ph.D.
Laurianne Paravisini is the Director of Analytical Chemistry at Osmo and an accomplished leader in flavor research and analytical chemistry. She holds a Ph.D. in Flavor Chemistry from the Center for Taste and Feeding Behavior in France. Before Osmo, throughout her academic and industry career, Laurianne has focused on understanding the molecular and sensory drivers of food and flavor perception. She joined Osmo to build the world’s largest analytical database for odors and give computers a sense of smell.
Abstract
Imagine:
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being able to smell the lilies that grew near your childhood home from anywhere
in the world.
- visiting the Sistine Chapel and sending a loved one back home the scent of
old paint and plaster.
- watching a movie about sailors lost at sea and smelling the saltwater
throughout the theater.
- capturing the scent of your soon-to-be-husband on your wedding day, so you
can savor that moment forever.
This is the promise of Scent Teleportation, a technology that captures a smell
in one part of the world and releases it in another. Much of the digital world
of today is the result of teaching computers how to see and hear. Osmo’s goal
is to do the same for scent — making it easy to capture, analyze, and reproduce
scents. In a first step to create what RGB is to vision, Osmo leveraged Graph
Neural Networks to generate the first map of odors as reliable as a human in
describing odor quality (Lee et al., 2022). On a prospective validation set of
400 odorants, the model-generated odor profiles more closely matched the trained
panel mean (n=15) than did the median panelist. Ongoing research and
development efforts at Osmo focus on creating a more advanced odor map,
encompassing hundreds of monomolecular odorants as well as complex mixtures,
with the ultimate goal of giving computers a sense of smell. This seminar will
showcase the unprecedented analytical chemistry and machine learning
advancements that drive this work.
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