Date: 1/18/24
Adit Radhakrishnan
Title: How do neural networks learn features from data?
Host: Aaron Newman
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Date: 1/25/24
Daniel Mukasa
Title: Computationally Design of Wearable Chemical Sensors for Personalized Healthcare
Host: Aaron Newman
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Date: 2/1/24
Speaker: Drago Plecko
Title: Causal Health Equity – Toward a Taxonomy
Host: Aaron Newman
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Date: 2/8/24
Speaker: Emma Pierson
Title: Methods for missing outcomes
in healthcare and public health
Host: Aaron Newman
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Date: 2/15/24
Speaker: Yuzhe Yang
Title: Learning to Assess Chronic Diseases: Early Diagnosis, Severity, Progression, and Medication Response
Host: Aaron Newman
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Date: 2/22/24
Speaker: Brian Trippe
Title: Probabilistic methods for designing functional protein structures
Host: Aaron Newman
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Date: 2/29/24
Speaker: Emily Alsentzer
Title: Few Shot Learning for Rare Disease Diagnosis
Host: Aaron Newman
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Date: 3/4/24
Speaker: Victoria Popic
Title: Learning the signatures of structural variation in the genome
Host: Aaron Newman
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Date: 3/7/24
Speaker: William DeWitt
Title: Dynamics, prediction, and computation for evolutionary mechanisms in immune responses
Host: Aaron Newman
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Date: 3/14/24
Speaker: Bahareh Tolooshams
Title: Deep Unrolling for Inverse Problems in Engineering and Science
Host: Aaron Newman
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Date: 3/21/24
Speaker: Peter Koo
Title: Interpreting rules of gene regulation learned by deep learning
Host: Aaron Newman
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