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 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     Current
  • Currently pursuing Ph.D.
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
  • Senior Principal Scientist and Group Lead at Sanofi
  • Research Informatics Scientist at Genzyme, Boston
Arjun Bakshi M.S. 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

  • 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
  • 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. 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

  • 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

  • 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

Learning the Mechanisms of Action of Chemical Perturbagens from their Transcriptional Signatures

  • Currently ORISE Fellow at US FDA
Yashaswini Ramananda

Ph.D. candidate

  • Currently pursuing Ph.D.
Amanda McGann M.D./Ph.D. candidate   2024  
Jean-Pierre Amoakon Ph.D. candidate   Current
  • Currently pursuing Ph.D.
Xiaoxuan Liu Ph.D. candidate   Current
  • Currently pursuing Ph.D.

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This page was last updated on April 3, 2024.