Stephen Asprinio

Stephen Asprinio (born in Palm Beach County, Florida) is an American restaurateur, sommelier, chef, and former Top Chef contestant.[1][2][3]

Stephen Asprinio
Born
Palm Beach County, Florida
Culinary career

Biography

Asprinio studied at the Culinary Institute of America. He continued his education after culinary school and earned his bachelor's degree from the Cornell University School of Hotel Administration. He also studied and trained at Hermann J. Wiemer Vineyards.

Asprinio appeared on reality TV show Top Chef on Bravo during its first season and was one of the final five contestants when he was eliminated from the competition. Asprinio also competed as a contestant on Top Chef: All Stars in 2010, but he was eliminated in the third episode.[1][2][3][4] Asprinio is best known as the "villain" of Top Chef's first season; ABC named him one of "Reality TV's Top 15 Meanest Villains." [5] One of the most stark examples of this "villain" behaviour was Asprinio's ongoing verbal treatment of another contestant, Candice Kumai, whom he allegedly called "trash." [6]

At the age of 26, Stephen Asprinio opened his first and namesake restaurant, Forté di Asprinio in South Florida, which was named "One of the Top 10 Best New Restaurants in the United States" by the Gayot Restaurant Guide.[4] However, he left soon after its opening; the restaurant changed course and dropped “di Asprinio” from the name.[7][8]

Asprinio currently resides in New York City, where his hospitality firm, S.A. Hospitality Innovations, is based.[1][4]

gollark: Long-term data storage is achieved by beaming all data into space as frequency-modulated X-rays, since if FTL travel or something is ever developed they can just be picked up later™.
gollark: Well, actually three of them for redundancy.
gollark: Yes, we actually have a system where all our data is fed in an entirely unstructured way into a somewhat slow-running trillion-node neural network.
gollark: It uses cloud-scale MangoDB.
gollark: Also the ground-based apioform scanner network, which is able to integrate vast amounts of data from a huge amount of apioforms with a wide range of sensors.

References

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