Fellows/Students
Open Positions
Talented individuals (Ph.D. in computer sciences, Informatics, or bioinformatics with a strong interest and/or experience in working on genomic and/or biomedical big data problems) looking for postdoctoral opportunities, please contact us with your current CV, a one-page research statement, and the names and contact information of at least three references.
Research Fellows:
Vinayakumar Ravi, Ph.D.: September 2019 thru August 2020.
Past and current students (M.S. or Ph.D. - Bioinformatics, Computer Science, and Others, University of Cincinnati):
*Some of the details related to current positions may not be up-to-date.
Search Electronic Theses & Dissertations (ETD) Center
This page was last updated on July 31, 2025.
| Student Name | Degree | Thesis Title | Year of Graduation | Current Position* |
|---|---|---|---|---|
| Bioinformatics | ||||
| Jing Chen | Ph.D. | Computational Selection and Prioritization of Disease Candidate Genes | 2008 | Currently Assistant Professor at Cincinnati Children's Hospital Formerly at GlaxoSmithKline, North Carolina Formerly Research Scientist at University of Cincinnati |
| Sivakumar Gowrisankar | Ph.D. | Predicting Functional Impact of Coding and Non-Coding Single Nucleotide Polymorphisms | 2008 | Currently Scientific Director, Genomic Medicine/Translational Science, Parexel Formerly at Novartis, Boston Formerly Bioinformatician at Partners Healthcare Formerly Research Fellow at Brigham and Women's Hospital Formerly Research Fellow at Harvard University |
| Xiaoyan Qu | Ph.D. | Discovery and Prioritization of Drug Candidates for Repositioning Using Semantic Web-based Representation of Integrated Diseasome-Pharmacome Knowledge | 2009 | Currently SVP, Global Head, Biomarker and Genomic Medicine, Parexel Formerly Associate Director - Computational Biology at GlaxoSmithKline Formerly Senior Technology Development Manager at Global Health Care & Corporate Biotechnology at Procter & Gamble, Cincinnati |
| Vivek Kaimal | Ph.D. | Computational approaches to study microRNA networks | 2010 | Currently Executive Director, Head of Translational Bioinformatics · Allogene Therapeutics Formerly Director of Bioinformatics and Computational Biology at Rheos Medicines, Inc. at Rheos Medicines Formerly Senior Scientist II, Bioinformatics at AbbVie Formerly Senior Scientist at Regulus Therapeutics, San Diego |
| Michael Lape | Ph.D. | A Survey of Pathogens and Non-communicable Human Disease | 2024 | Bioinformatics Analyst, CCHMC |
| Computer Science | ||||
| Amit U Sinha | Ph.D. | Discovery and Analysis of Genomic Patterns: Applications to Transcription Factor Binding and Genome Rearrangement | 2008 | Currently CEO Basepair.io Formerly Visiting Investigator at Memorial Sloan-Kettering Cancer Center Formerly Instructor at Dana-Farber Cancer Institute Formerly Instructor at Harvard Medical School |
| Mrunal Deshmukh | M.S. | A Concept Based Genomic Data Exploration System | 2008 | Senior Software Engineer at eTouch Systems |
| Faris Alqadah | Ph.D. | Clustering of Multi-Domain Information Networks | 2010 | Founder · Senior Director of Data Science Innovation, Qlairvoyance Formerly Data Scientist at PayPal Formerly Postdoctoral Fellow at Johns Hopkins University School of Medicine |
| Sandhya Shahdeo | M.S. | miR-Drug Relationships: Mining and Discovering bi-domain dense subclusters using greedy randomized algorithm | 2010 | Software Design Engineer in Test (SDET) at Microsoft |
| Ravi Kumar Chatnahalli Sugandharaju | M.S. | Gaussian Deconvolution and MapReduce approach for Chipseq Analysis | 2010 | Software Development Engineer, A9 -Amazon Search |
| Chunsheng (Victor) Fang | Ph.D. | Novel Frameworks for Mining Heterogeneous and Dynamic Networks | 2011 | CEO and Founder AnChain.AI Formerly Senior Data Scientist at Pivotal Formerly Senior Data Scientist at EMC Greenplum |
| Abhik Banerjee | M.S. | Discovery of overlapping 1-closed biclusters | 2012 | Currently Head of AI (ML Modeling, MLOps) & Data - Commercial Banking, JPMorgan Chase & Co. Director Data Science, Oracle Formerly Data Science Leader, Recommendation Systems, Kohl's Formerly Senior Anti - Spam Analyst and Programmer at AOL |
| Minlu Zhang | Ph.D. | Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery | 2012 | Associate Director, Bioinformatics and Data Science, Serimmune Inc. Bioinformatics Scientist at Illumina/NextBio, California |
| Cheng Zhu | Ph.D. | Efficient network based approaches for pattern recognition and knowledge discovery from large and heterogeneous datasets | 2013 | Associate Director, GSK Senior Principal Scientist and Group Lead at Sanofi Research Informatics Scientist at Genzyme, Boston |
| Arjun Bakshi | M.S. | Methodology for generating high-confidence cost-sensitive rules for classification | 2013 | Applied Scientist II at Amazon |
| Mohammad Rawashdeh | Ph.D. | A Relational Framework for Clustering and Cluster Validity and the Generalization of the Silhouette Measure | 2013 | Assistant Professor of Computer Science, Department of Mathematics and Computer Science, University of Central Missouri |
| Chao Wu | Ph.D. | Intelligent data mining on large-scale heterogeneous datasets and its application in computational biology | 2014 | Bioinformatician at Jazz Therapeutics Senior genomic data scientist at Spark Therapeutics Bioinformatician at CHOP |
| Britney Bogard | M.S. | Topic modeling: a novel approach to drug repositioning using metadata | 2014 | SDE at Amazon |
| Vineet Joshi | Ph.D. | Unsupervised anomaly detection in numerical datasets | 2015 | Formerly Senior Software Engineer, Recommendation Systems, Kohl's Principal AI Engineer, Oracle Software Engineer at Google |
| Jagadeesh Patchala | Ph.D. | Data mining algorithms for discovering patterns in text collections | 2016 | Currently Staff AI Engineer, SmartThings, CA Formerly Software Engineer, Recommendation Systems, Kohl's Lead AI/ML Engineer at Nike |
| Suryanarayana Yaddanapudi | M.S. | High-risk patient identification: Patient similarity, missing data analysis, and pattern visualization | 2016 | Machine/Deep Learning Data Scientist at Amazon's AI and Machine Learning Lab Finished Ph.D. at University of Cincinnati |
| Anusha Kantamneni | M.S. | Identifying communities as core-periphery structures in evolving networks | 2016 | Software Engineer at Vantiv |
| Divya Sardana | Ph.D. | Analysis of meso-scale structures in weighted graphs | 2017 | Analytics Software Engineer at Teradata Aster Lead Artificial Intelligence/ Machine Learning Engineer at Nike |
| Lalit Kumar | Ph.D. | Scalable map-reduce algorithms for mining formal concepts and graph substructures | 2018 | Instructor at University of Cincinnati College of Engineering |
| Jaswanth Yella | M.S. | Machine learning-based prediction and characterization of drug-drug interactions | 2018 | Data Scientist at Sephora |
| Suryanarayana Yaddanapudi | Ph.D. | Machine learning-based drug-disease relationship prediction and characterization | 2019 | Lead, Machine Learning Lab, Sephora Machine/Deep Learning Data Scientist at Amazon's AI and Machine Learning Lab |
| Sudhir Ghandikota | Ph.D. | Novel representation learning methodologies for consensus module detection, candidate gene prioritization, and biomarker discovery | 2023 | Sr. Bioinformatics Analyst, Cincinnati Children's Hospital & Medical Center |
| Jaswanth Yella | Ph.D. | Modeling Complex Networks via Graph Neural Networks | 2023 | Data Scientist at Sephora |
| Asma Alshammari | Ph.D. | Retrieval and Labeling of Documents Using Ontologies: Aided by a Collaborative Filtering | 2023 | |
| Others (MDB, MSTP, Systems Biology, MolGen, Pathology, Biostatistics) | ||||
| Gopinath Sundaramurthy | Ph.D. | A probabilistic approach for automated discovery of biomarkers using expression data from microarray or RNA-Seq datasets | 2016 | Data Science Manager at Kauffman Fellows Fund Formerly Advisory Data Scientist at Watson Health, IBM |
| Karthickeyan Chella Krishnan | Ph.D. | Host-pathogen interactions promoting pathogen survival and potentiating disease severity & morbidity in invasive group A streptococcal necrotizing soft tissue infections | 2015 | Assistant Professor, Department of Pharmacology and Systems Physiology, University of Cincinnati Formerly Post-doctoral Fellow, Systems Genetics, Lusis Lab, UCLA |
| Yunguan Wang | Ph.D. | Data-driven approaches for understanding development, disease and identifying therapeutics | 2018 | Assistant Professor, Gastroenterology Division, CCHMC Computational Biologist at the University of Texas Southwestern Medical Center Formerly Bioinformatician at Harvard University |
| Huan Xu | Ph.D. | Controlling false positive rate in network analysis of transcriptomic data | 2019 | Research Associate at Cincinnati Children's |
| Lixia Zhang | Ph.D. | Learning the Mechanisms of Action of Chemical Perturbagens from their Transcriptional Signatures | 2022 | Currently ORISE Fellow at US FDA |
| Amanda McGann | Ph.D. | From Healthy to Epileptic Brain: Molecular Contributors to Epileptogenesis | 2024 | Currently pursuing M.D. |
| Jean-Pierre Amoakon | Ph.D. | Mechanism of Loss of Small Pulmonary Blood Vessels in Cystic Fibrosis | 2024 | |
| Yashaswini Ramananda | Ph.D. candidate | Current | Currently pursuing Ph.D. | |
| Xiaoxuan Liu | Ph.D. candidate | Current | Currently pursuing Ph.D. | |
| Shanda Edjah | Ph.D. candidate | Current | Currently pursuing Ph.D. | |
| Chanukya Pavan Vemulapalli | Ph.D. candidate | Current | Currently pursuing Ph.D. | |