Here are some former Jagust lab members and what they are up to now.
Sharada is currently a student at the UC Berkeley-UCSF Joint Medical Program, where she will earn an MS in Health and Medical Sciences from Berkeley and an MD from UCSF. Her clinical and research interests involve geriatrics, neurodegenerative diseases, bioethics, and the medical humanities.
Shawn Marks completed his PhD in 2017, and is currently working as a data scientist for Scoutible.
Vyoma Shah is currently a PhD in the Center for Human Sleep Science at UC Berkeley. Outside of the lab, you’re likely to find me playing Scrabble or Chess, enjoying chai tea, chocolate or cheese, traveling, or just exploring new places in the city with friends.
I am currently an Assistant Professor in Internal Medicine - Gerontology and Geriatric Medicine at the Alzheimer’s Disease Center of the Wake Forest School of Medicine. My research at Wake investigates how we can better disentangle "normal aging" from preclinical disease--with a particular focus on interactions between vascular and degenerative pathology--using neuroimaging (MRI and PET) and cognitive methods. Further, we ask if we can intervene (e.g., in cognitively normal elderly with imaging biomarkers for pathology or vascular injury) with some of the more modifiable factors (e.g., vascular risk factors, exercise, diet, cognitive training) and using clinical therapeutics, to produce measurable improvements in brain and cognitive measures.
My postdoctoral research project in the Jagust lab (F32 AG050389) examined neuroimaging biomarkers of preclinical Alzheimer’s Disease (AD). Preclinical progression along the AD pathological cascade may be inadvertently conflated with the normal aging process in many studies seeking to understand the causes of gradual cognitive decline late in life. Therefore, our goal was to investigate effects of tau and Aβ accumulation (measured using PET) on structural connectivity between these regions (measured using MRI and DTI), and the relative effects of these brain differences on memory performance. I earned my PhD from UC Davis in 2014, working with Dr. Charles DeCarli to investigate the contributions of age and CVD-related white matter injury (white matter hyperintensities or WMH) to attentional control network function and cognitive performance.
Rachel is currently an MPH student at UC Berkeley with a concentration in Health and Social Behavior and is working as a graduate student assistant at the Center for Public Health Practice and Leadership. She is hoping to work on eliminating health disparities through some kind of policy advocacy in the future.
I graduated from Cal after doing my honors thesis in the Jagust Lab on the pattern of beta-amyloid deposition. Now after an exciting summer traveling in Europe, I am back in the lab working with Gil Rabinovici on processing exciting PET data, including PIB, FDG, and tau. Outside of work, I love to cook, travel, and read.
Mark is in the Stats PhD program at UNC Chapel Hill. He hopes to be making his way back to statistical applications in neuroimaging and Alzheimer's Disease research in the near future.
Renaud La Joie
Renaud graduated from the Paris 6 university / École normale supérieure with an MSc in neuroscience and from the University of Caen with a PhD in Psychology. During his graduate training with Dr. Gaël Chételat, he gained expertise in multimodal brain imaging and the neuropsychology of aging and dementia before joining the Jagust lab for a year as a visiting scholar. Renaud is now working with Dr. Gil Rabinovici at the UCSF Memory and Aging Center, just across the Bay Bridge.
I've loved computers since I was 5 years old and had type 1 diabetes since I was 12 years old. I was an EECS undergraduate at Cal (2002-2006) with a desire to apply those skills to medicine. Bill gave me the opportunity to combine my love of engineering and biology. I got a chance to learn all about neuroimaging, and perform statistical data processing and tons of coding. Since then, I finished medical school at U.C. Davis in 2011. I did a combined 4 year residency in internal medicine and pediatrics at LA County Hospital (yes, THE General Hospital). I am currently doing a 4 year combined adult and pediatric endocrine fellowship at Stanford (GO BEARS!) and working with Bruce Buckingham on new diabetes technology. When I graduate 28th grade I will be able to take care of those with diabetes, of all ages, and continue to perform the high quality research I first learned from Dr. Jagust.
Andreas worked in the Jagust lab for three years as an undergraduate at Berkeley under Dr. Jagust and Dr. Gil Rabinovici, where he completed his honors thesis entitled "Subtyping PPA: Towards a Quantitative Approach to Classification of Primary Progressive Aphasia Using [18F] FDG-PET and Domain-Specific Cognitive Performance". Andreas continued his work with the lab after graduation for two years as the PET Research Coordinator at the UCSF Memory and Aging Center. Now in snowy Rhode Island, Andreas is pursuing his MD and MSc in Primary Care Population Medicine at Brown University's Warren Alpert Medical School, where he is conducting thesis research on subjective experiences of older adults aging in institutional settings.
Sylvia is now an Assistant Professor at McGill University. She is the core PET leader of the PREVENT-AD cohort, a cohort of ~300 cognitively normal individuals with a family history of Alzheimer’s disease dementia. Her lab focuses on the impact of AD pathology (amyloid and tau) on structural and functional brain changes. Current projects also aim to determine how genetic and lifestyle factors influence the presence and the propagation of amyloid and tau, as well as their impact on brain integrity and cognitive outcomes.
Jake managed the Jagust Lab for three years. He was known as a bold sentry of the databases, an intrepid processor of imaging data, and a spiritual and scientific guide for all lab members, protecting them from administrative red tape, having to answer phones, and the tribulations of faulty printers. He is now a PhD student with Alan Evans at McGill University, using machine learning techniques to analyze multimodal brain imaging data in the context of Alzheimer's disease and other degenerative dementias. In his spare time, he is learning French, biking through the snow, hosting trivia, and playing music with his awesome band.