Elinor Karlsson · Mathematics & Statistics
Dr. Elinor Karlsson's lab focuses on using pet dogs with spontaneous cancer to improve blood tests that can detect cancer-related genetic changes. By studying how dog cancer mirrors human cancer, the lab aims to develop better techniques for monitoring cancer through blood samples. Their work has the potential to influence how we screen for cancer and monitor its progression in humans.
Feifan Liu · Mathematics & Statistics
Dr. Feifan Liu's lab focuses on using artificial intelligence and machine learning to improve cardiovascular disease risk prediction, particularly for populations that face health disparities. By integrating social determinants of health with clinical factors, the lab aims to create models that can guide better health interventions and promote health equity. Their work is relevant not only for researchers but also for practitioners looking to address health inequalities in their communities.
Ben Steven Gerber · Mathematics & Statistics
Dr. Ben Steven Gerber's lab focuses on improving diabetes management, specifically for individuals with type 2 diabetes in underserved communities. The lab conducts research on continuous glucose monitoring (CGM) technology and combines it with the expertise of clinical pharmacists and community health workers to enhance patient care. Their work aims to evaluate the effectiveness and cost-efficiency of this integrated approach in primary care settings, ultimately seeking to improve health outcomes for diverse populations.
Jennifer Tjia · Mathematics & Statistics
Dr. Jennifer Tjia's research focuses on the impact of structural racism on family caregivers of patients with serious illnesses. Her lab conducts studies that explore how neighborhood factors and hospital cultures affect access to palliative care for diverse communities. The aim is to identify barriers that prevent equitable healthcare and to develop actionable recommendations that improve caregiver engagement and patient outcomes.
Sarah N Forrester · Mathematics & Statistics
Dr. Sarah Forrester's research focuses on how residential segregation affects health, specifically how it influences the aging process and contributes to chronic diseases among Black Americans. Her lab investigates the connections between the neighborhoods where people live and their physiological health across different life stages. By studying these relationships, the lab aims to provide insights that can help improve health equity and inform public policies.
Zhiping Weng · Mathematics & Statistics
Dr. Zhiping Weng's lab focuses on understanding how genetic variants affect health and disease by leveraging advanced computational and statistical methods. The team is involved in large-scale NIH initiatives that aim to coordinate data analysis from diverse populations and create accessible databases. Their work helps improve our understanding of genetic variation, which can lead to better treatment options and preventive measures for various diseases.
Jeffrey B Driban · Mathematics & Statistics
Dr. Jeffrey B. Driban's lab at the University of Massachusetts Medical School focuses on improving the understanding and treatment of knee osteoarthritis (KOA). The research aims to develop new imaging techniques that capture the structural changes associated with KOA progression and how these changes relate to patient outcomes. By validating novel biomarkers, the lab strives to enhance clinical trials aimed at finding therapies for this common condition.
Rosemarie A Martin · Mathematics & Statistics
Dr. Rosemarie A. Martin's lab focuses on improving how jails respond to the opioid overdose crisis, especially in rural areas. They are working on strategies to increase the use of medication for opioid use disorder (MOUD) in jails, which are crucial for the health of incarcerated individuals. By implementing innovative educational programs, they aim to enhance the knowledge and skills of jail staff and promote better healthcare practices in these facilities, ultimately reducing overdose rates and improving public health outcomes.
Katherine F. Luzuriaga · Mathematics & Statistics
Dr. Katherine Luzuriaga's lab focuses on bridging the gap between laboratory discoveries and real-world health solutions. They work with communities to identify health-related challenges and design innovative approaches to tackle them. Their goal is not only to advance clinical care but also to engage public partners and train future leaders in translational science.
Rajani Sadasivam · Mathematics & Statistics
The research lab led by Dr. Rajani Sadasivam at the University of Massachusetts Medical School focuses on developing innovative educational programs aimed at training residents in weight management counseling. Their flagship project, MRWeight, is designed to increase the skills of medical residents in discussing and managing overweight and obesity using structured methodologies. The lab's work is pivotal in ensuring that future physicians are better equipped to address the growing obesity epidemic in the U.S.
Chan Zhou · Mathematics & Statistics
Dr. Chan Zhou's research focuses on understanding how long non-coding RNAs (lncRNAs) contribute to opioid use disorder (OUD) in the context of HIV. The lab uses advanced techniques to explore the role of these RNA molecules in brain function, particularly in individuals affected by both OUD and HIV. By integrating data from single-cell RNA sequencing, the research aims to identify novel therapeutic targets for improving the health of patients suffering from these disorders.