Faculty Research

Archana McEligot, Ph.D.

Dr. McEligot’s primary research interests include examination of the association between behavioral factors, including dietary intake with chronic disease outcomes. Also, she is interested in assessing the relationship between dietary circulating biomarkers in blood such as folate and carotenoids, as well as other disease biomarkers in conjunction with genetic polymorphisms on disease risk. Dr. McEligot is passionate about her research. She is the first awardee at CSUF to receive the prestigious National Cancer Institutes Career Development Award investigating the interaction between DNA repair genes and diet on breast cancer risk. She is also one of the first recipients of research training programs from the National Institute of Aging to develop research education programs on behavioral and biological factors associated with Alzheimer's disease. -  See more at: The Health Promotion Research Institute

✉ : amceligot@fullerton.edu

Meredith N. Braskie, Ph.D.

Dr. Braskie’s primary research interests include genetic and environmental risk factors for Alzheimer's disease (AD) that relate to brain structure, function, and connectivity throughout adulthood, with an emphasis on cognitively intact adults and those with early mild cognitive impairment and biological mechanisms and signaling pathways that may contribute to or protect against AD-related changes -  See more at: Dr. Braskie’s lab homepage 

✉ : meredith.braskie@ini.usc.edu

Arthur W. Toga, Ph.D.

Dr. Toga is interested in the development of new algorithms and the computer science aspects important to neuroimaging. New visualization techniques and statistical measurement are employed in the study of morphometric variability in humans, subhuman primates and rodents. His laboratory has been working on the creation of three dimensional digital neuroanatomic and functional neuroanatomic atlases for stereotactic localization and multi-subject comparison. Specific programs include the development of local deformation techniques to equate brain data sets from different modalities and different subjects and the development of electronic databases for the archival, interaction and distribution of brain data -  See more at: USC Laboratory of Neuro Imaging

✉ : toga@usc.edu

Math P. Cuajungco, Ph.D., M.S.c.

Dr. Cuajungco's research includes: Molecular, structural and cellular biology of transient receptor potential (TRP) ion channels (Mucolipin subfamily); Transmembrane proteins: TMEM163, TMEM176A, and TMEM176B; Zinc neurobiology and zinc transporters; Metallobiology of Alzheimer's disease. -  See more at: Biological Science

✉ : mcuajungco@fullerton.edu

Sam Behseta, Ph.D., M.S.

Dr. Behseta is a statistician with research interests in Bayesian statistics, statistics in neuroscience, modeling education data, foundations and history of statistics, statistics education, probabilistic watermarking, and biostatistics. -  See more at: Dr. Behseta's Home Page

✉ :  sbehseta@fullerton.edu

Lohuwa Mamudu, Ph.D.

Dr. Mamudu's research interest is data-driven, and interdisciplinarily focused on statistical/analytical modeling and the application of qualitative and quantitative statistical methods in Health Science, Economics & Finance, Environmental Science, and Cybersecurity. In Health Science, his research interest has focused on cancer disparity, survivorship, and treatment/therapeutic, infectious disease outcome, as well as immigration health. - See more at Dr. Mamudu's webpage

✉ : lohuwam@fullerton.edu

Sinjini Mitra, Ph.D.

Dr. Mitra's research interests are data mining and business analytics, statistical modeling and inference, time series analysis and forecasting, and data mining and statistical applications in education research. -  See more at: Dept. of Information Systems and Decision Sciences

✉ :  smitra@fullerton.edu