Our lab recently developed a new methylation profiling technology, FLEXseq (PMID: 39651174), that excels at broad profiling of the cfDNA methylome in plasma and other human body fluids such as cerebrospinal fluid. We seek to leverage this technique and broad access to residual clinical specimens to study tumor classification and evolution. Over 500 FLEXseq methylation profiles have been generated to date as a reference starting point.
We are seeking highly motivated and intellectually curious postdoctoral scholars with interest in diseases of the nervous system to join ongoing investigations into the pathogenic mechanisms and therapeutic interventions for age-related neurodegenerative diseases such as Alzheimer’s disease and Parkinson's diseases and neuropsychiatric diseases such as Fragile X syndrome and autism-spectrum disorders.
We are seeking a postdoctoral fellow to work on cutting-edge single-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease.
We are generating spatial transcriptomic/multi-omic data on neoplastic and non-neoplastic diseases. We are hoping to recruit a postdoctoral fellow to lead the analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt.
Mitochondrial dysfunction is commonly associated with aging and age-related chronic diseases. A major goal of our research is to understand how mitochondrial dysfunction arises during aging and contributes to the pathogenesis of a broad spectrum of age-related diseases, from cancer to neurodegenerative diseases and sarcopenia. An overarching hypothesis is that aging and age-related diseases share fundamental molecular and cellular mechanisms. Thus, by targeting the molecular drivers of aging, we can develop new understandings and therapies for many age-related diseases.
Dr. Cong's group is developing novel technology for genome editing and single-cell genomics, leveraging scalable methods inspired by data science and machine learning and artificial intelligence.
Environmental microbiology (e.g. diatoms, algae) and synthetic biology
Topics: Nitrogen fixation, lipid biosynthesis and transprot, cellular endosymbiosis, nonmodel organisms
Application areas: Fertilizers, Biofuels
Research in the Pollack lab centers on translational genomics, with a current focus on diseases of the prostate. The lab employs next-generation sequencing, single-cell genomics, genome editing, and cell/tissue-based modeling to uncover disease mechanisms, biomarkers and therapeutic targets.