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News
May 5, 2021 Taritree Wongjirad

Senior Paul Lutkus successfully defends his senior thesis

Paul presented his work in his thesis, “Generating Images of Neutrino Interactions in Liquid Argon Time Projection Chambers using Neural

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News
April 12, 2021 Taritree Wongjirad

Junior Felix Yu wins poster award at Stanford Research Conference

Felix Yu was selected to present his work on using convolutional neural networks to find particle interactions in the MicroBooNE

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News
March 26, 2021 Michael Dolce

PhD student Michael Dolce receives Universities Research Association Visiting Scholar Award

The Visiting Scholar Program provides funding to faculty and students to conduct research at Fermilab. Michael will work with a

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News
September 1, 2020 Taritree Wongjirad

Group part of the NSF AI Institute for Fundamental Interactions

Our group is part of the Institute for AI and Fundamental Interactions (IAIFI) one of five NSF-funded institutes dedicated to

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News
July 29, 2020 Taritree Wongjirad

Sharankova presents at ICHEP 2020

Ralitsa presents the status of the MicroBooNE experiment at the ICHEP 2020 Conference. Her presentation can be found here.

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News
June 29, 2020 Taritree Wongjirad

At Neutrino 2020!

The Tufts group is participating in our field’s biggest conference, the biannual Neutrino conference. Like other events, we’ve had to

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Machine Learning
June 20, 2020 Taritree Wongjirad

Work shown at Neutrino Physics Machine Learning workshop

Katie Mason, Joshua Mills, and Ralitsa Sharankova talk about some of the work we’re doing trying to improve particle interaction

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graduationprizes
May 23, 2020 Taritree Wongjirad

Undergrad group member Kai Stewart graduates

Kai worked with our group on generating LArTPC images using Generative Convolutional neural networks. His work culminated in his senior

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News
February 15, 2020 Taritree Wongjirad

Abratenko wins NSF fellowship

First-year graduate student, Polina Abratenko, is awarded an NSF graduate fellowship!

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News
February 15, 2020 Taritree Wongjirad

Mason wins poster prize at DPF2019

Graduate student, Katie Mason, presented her work on her “Infill” convolutional neural network which proposes the values for pixels in

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