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):

Student Name Degree Thesis Title Year of Graduation Current Position
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 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 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
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
  • Currently 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
  • 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
  • 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
  • Research Informatics Scientist at Genzyme, Boston
Arjun Bakshi M.S. 2013
  • Applied Scientist at Amazon
Mohammad Rawashdeh Ph.D.

A Relational Framework for Clustering and Cluster Validity and the Generalization of the Silhouette Measure

  • 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
  • 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
  • Principal AI Engineer, Oracle
  • Formerly Senior Software Engineer, Recommendation Systems, Kohl's
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
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
Lalit Kumar Ph.D. Scalable map-reduce algorithms for mining formal
concepts and graph substructures
  • Instructor at University of Cincinnati College of Engineering
Jaswanth Yella M.S. Machine learning-based prediction and characterization of drug-drug interactions 2018
  • Pursuing Ph.D. at University of Cincinnati
Suryanarayana Yaddanapudi Ph.D.

Machine learning-based drug-disease relationship prediction and characterization

  • Machine/Deep Learning Data Scientist at Amazon's AI and Machine Learning Lab
Sudhir Ghandikota Ph.D. candidate   Current Currently pursuing Ph.D.
Jaswanth Yella Ph.D. candidate   Current Currently pursuing Ph.D.
Michael Lape Ph.D. candidate   Current Currently pursuing Ph.D.
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

  • Post-doctoral Fellow, Systems Genetics, Lusis Lab, UCLA
Yunguan Wang Ph.D.

Data-driven approaches for understanding development, disease and identifying therapeutics

  • 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

  • Research Associate at Cincinnati Children's
Lixia Zhang Ph.D. candidate A novel method to elucidate mechanisms of action of bioactive compounds using genome-wide transcriptional expression data Current Currently pursuing Ph.D.
Yashaswini Ramananda

Ph.D. candidate


Currently pursuing Ph.D.

Amanda McGann M.D./Ph.D. candidate   Current Currently pursuing Ph.D.

Search Electronic Theses & Dissertations (ETD) Center

This page was last updated on July 19, 2021.