Dr. Aronow received his BS in chemistry from Stanford University in 1976, and earned is PhD in biochemistry at the University of Kentucky in 1986. He joined the Research Foundation in 1986 as a research fellow in the Division of Basic Science Research.
Dr. Aronow has received numerous commendations and service awards for his work in basic science research.
Eric earned his BS in computer science from Georgetown College in 1990 and then worked for several companies either as an employee or contractor. His work in the lab includes development and support of in-house developed bioinformatic applications like ToppGene and ToppCluster. He is also working toward development of additional analytic applications.
Surbhi is a graduate student at the University of Cincinnati studying computer science engineering with a special focus on biomedical informatics. She applies the latest data analytics techniques to high-dimensional biomedical data. Some of her research interests include data science, machine learning, big data solutions and deep learning. Her recent projects have significantly been involved with WGS/WES and RNA-seq cancer data, feature data from images of cells, and pathogenic variant data of Mendelian diseases.
Jing is a bioinformatician with more than 10 years’ experience in computational biology research. Under the mentorship of Drs. Aronow and Jegga, he helped developed ToppGene suite web applications. As a research scientist at UC, he developed a statistical framework to connect transcription factors with diseases and drugs based on ChIP-seq and mRNA expression. He developed numerous analytical pipelines for large-scale genomic data and was involved in the development of bioinformatics infrastructure and methodology in the NIH-funded LINCS program. His current research interests include identification of pathogenic genetic variants and computational drug discovery and repositioning.
Phillip Dexheimer started his career programming submarine piloting and navigation simulators for the US Navy. After moving inland, he found a short-term job at the Vanderbilt University Microarray Core and became involved in genomic analysis. He moved to Cincinnati in 2011 and joined the Aronow lab, where he’s responsible for developing and implementing analysis pipelines for a variety of genomic data. He is also a PhD student in biomedical informatics.
Deeptha Girish is a PhD student in the electrical engineering department at the University of Cincinnati. Her areas of research are image processing, computer vision and machine learning. She is a graduate research assistant in the Aronow lab where she works on understanding, processing and extracting features from medical images.
Dr. Sarangdhar is a bioinformatics-trained computational scientist with a strong focus towards unraveling latent relationships within biomedical big data. He earned a PhD in Computer Science from the University of Hull, UK in 2011. His research interests include systems pharmacology, developmental pharmacology, cardio-oncology, drug-induced toxicities, and drug repositioning. He has developed a novel platform, AERSMine, to mine the clinical responses of more than 8 million patients to all FDA-approved drugs in order to identify unexpected clinical harm, benefits and alternative treatment choices for individual patients. He is a member of the Children’s Oncology Group and is developing a platform to compare and analyze differential treatment-associated toxicities of specific drugs and drug combinations between pediatric and young adult groups across multiple studies and disease groups.
Vineeta is a PhD student in electrical engineering at the University of Cincinnati. Her areas of research are image processing and machine learning. She has been part of the Aronow lab since May 2015. She works with Dr. Aronow on automating medical image understanding, writing algorithms to help quantify the images which assist in interpreting the images.
Scott started working full-time with the Division of Biomedical Informatics in September 2006 and became a Cincinnati Children’s employee in December 2009. His focus has been with architecting and building web-based applications that have been used for genetic and pharmacological research. His work has involved analyzing big data and better enabling web applications to work with the big data. A significant area of focus has been on the end user experience when dealing with complex option sets and performance when using big data.
Yunguan (Jake) is a fourth-year PhD candidate at the University of Cincinnati College of Medicine. He joined the Aronow-Jegga lab in 2014 for his third lab rotation and loved the experience so much that he decided to stay for his thesis research. He is currently working on two projects. The first project, supervised by Dr. Aronow, is focused on systems biology of lung development, and the second one, supervised by Dr. Jegga, involves computational drug discovery for rare lung disease.
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