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James Lucas

Program: Ecology and Evolutionary Biology

Graduation Year: 2023

Thesis Advisor: Robbie Hart

Thesis Title: Following the Paper Trail: An Ethno-Ecology of Hand Papermaking Traditions

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Brendan Lucey, MD, MSCI

Associate Professor

Program affiliation
Neurosciences

Research summary
The Lucey Lab undertakes both longitudinal studies of sleep, aging, and AD as well as clinical trial using sleep interventions to target AD pathology

Key words
Sleep, circadian rhythms, aging, Alzheimer's disease

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Aaron Lucius

Program: Biophysics

Graduation Year: 2003

Thesis Advisor: Timothy M. Lohman

Thesis Title: Mechanism of E. Coli RecBCD Helicase Catalyzed DNA Unwinding and General Methods for Analysis Using Sequential n-stop Kinetic Models

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Hilary Luderer

Program: Molecular Cell Biology

Graduation Year: 2007

Thesis Advisor: Gregory D. Longmore

Thesis Title: The Role of the LIM Protein LIMD1 in Bone Biology

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Jesse Lugus

Program: Molecular Cell Biology

Graduation Year: 2008

Thesis Advisor: Kyunghee Choi

Thesis Title: Molecular Mediators of Bone Morphogenetic Protein Signaling in the Generation and Differentiation of F1k-1+ Mesoderm

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Clifford Luke, PhD

Associate Professor

Program affiliation
General

Research summary

Key words

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Kathryn Luker

Program: Cell Biology & Biochemistry

Graduation Year: 1993

Thesis Advisor: Garland R. Marshall

Thesis Title: Structure-Activity Correlation for Tracheal Cytotoxin: Defining a Novel Muramyl Peptide Interaction Site

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Katherine Luking

Program: Neurosciences

Graduation Year: 2015

Thesis Advisor: Deanna M. Barch

Thesis Title: How Gains and Losses Influence the Brain and Behavior: Relations to Age, Risk for Depression, and Individual Differences

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Matt Lum

Program: Neurosciences

Current advisor: Daniel Kerschensteiner, MD

Undergraduate university: University of California-San Diego, 2020

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Jose Marcio Luna, PhD

Assistant Professor

Program affiliation
Biomedical Informatics and Data Science

Research summary
Dr. Jose Marcio Luna’s research focuses on the development of translational tools for prediction and diagnosis of cancer from a multi-omics perspective in the era of precision medicine.

Key words
Machine Learning, Data Sciences, Data Integration, Optimization Theory and Computational Medical Imaging