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Dr. Tan studies transcriptional regulation during normal development and disease. This involves the interplay of multiple transcription and epigenetic factors in a 3D chromosomal environment. Using experimental genomics and computational modeling, Dr. Tan investigates transcriptional regulatory networks underlying embryonic hematopoiesis, T cell differentiation, and pediatric leukemia.
Dr. Tasian and his research team use an epidemiologic framework, including randomized trials and multi-institutional observational studies, to examine the etiology of kidney stone disease and the comparative effectiveness of surgical interventions. He also employs machine learning of complex data to improve diagnosis, risk stratification, and prediction of treatment response for children and adults with benign urologic disease.
Dr. Teachey's research focuses on investigating novel therapeutics for children with white blood cell diseases, including ALL and a rare autoimmune disease called Autoimmune Lymphoproliferative Syndrome (ALPS). His research in ALL focuses on studying leukemic cells from children with high-risk disease.
Dr. Thomas-Tikhonenko has a long-standing interest in the pathobiology of solid and hematopoietic malignancies, in particular lymphomas and leukemias and other cancers driven by MYC overexpression. Within that research space, his studies focus mainly (but not exclusively) on RNA-based regulatory mechanisms, such as microRNAs and alternative mRNA splicing.
Dr. Timko is a psychologist and researcher focused on understanding the development and maintenance of eating disorders in adolescents. Currently, her interest is in the neurobiology of anorexia, the role of neurocognition in eating disorder maintenance, sex differences in eating disorders, and the development of new treatments for youth with eating disorders.
Dr. Tong investigates cytokine receptor signaling in normal and neoplastic hematopoietic development. She uses integrated approaches encompassing biochemistry, molecular biology, mouse models, and primary human samples to understand signaling events emanating from cytokine receptors that regulate the development of hematopoietic stem/progenitor cells.
Dr. Tremoulet's current research interests include designing intelligent information systems that use human data (e.g. medical images, vital signs, reaction times, verbal, numerical or abstract reasoning assessments, neurological measures, etc.) to support healthcare and/or to improve job performance by enabling more effective human-machine interaction.
Dr. Tunç is a computational scientist investigating the application of machine learning and statistical data analysis in various domains such as digital phenotyping, nature of psychopathology, and neuroimaging. He participates in studies using normative, developmental, and clinical samples to parse heterogeneity in psychiatric disorders by developing novel computational techniques.