Biomedical Health Informatics

Our Research

Our research is focused on developing new data and metadata representation and analysis techniques for biomedical and healthcare research. Our current research focuses on integrative analysis of brain connectivity data for characterizing spatio-temporal characteristics of epilepsy seizure networks using computational neuroscience approaches. To address the challenges of data quality and scientific reproducibility in data-driven biomedical research we are also developing a provenance metadata framework using provenance ontology and text mining of published articles. Our interdisciplinary research involves close collaboration with clinical, biostatistics, and high performance networking researchers.

Research Interests

Epilepsy seizure networks; Structural connectivity networks derived from MRI; Functional connectivity networks derived from EEG; Provenance metadata; Ontology engineering; Data integration; High performance computing

Computational Techniques

Knowledge representation using OWL and RDF, Hadoop technologies (MapReduce, HDFS, Pig), Natural language processing (entity recognition and relationship extraction), Automated reasoning, Graph and network analysis

NeuroPigPen: Functional Brain Connectivity



Recent advances in brain fiber tractography algorithms and diffusion Magnetic Resonance Imaging (MRI) data collection techniques are providing new approaches to study brain white matter connectivity, which play an important role in complex neurological disorders such as epilepsy. Epilepsy affects approximately 50 million persons worldwide and it is often described as a disorder of the cortical network organization. There is growing recognition of the need to better understand the role of brain structural networks in the onset and propagation of seizures in epilepsy using high resolution non-invasive imaging technologies. The objective of our project is to build an integrative informatics tool for neuroscience that can be used to accurately characterize the role of fiber tract connectivity in neurological disorders such as epilepsy. We have developed novel computational tools to process electrophysiological signal data that use new: (a) Data Partitioning, (b) Semantic Annotation, and (c) Distributed Computing techniques. We recently released the NeuroPigPen tool that uses Apache Pig to process large volumes of signal data stored as EDF files and generate self-descriptive segments of data using a JSON-based format called Cloudwave Signal Format (CSF).

Provenance Metadata for Clinical and Healthcare Research



Provenance describes the source or history of data, for example the study protocol, methods used to assign values to research study variables, and procedure used to curate or process data. Our project aims to develop a provenance analysis engine using the World Wide Web Consortium (W3C) PROV specifications (W3C is the Web technology standards organization) that can scale with computational requirements of big data applications. We propose to use the PROV model to represent provenance of research studies and develop a set of provenance analysis operations that can support data reproducibility, data quality view, and derive trust value during cohort identification involving multiple research studies. The provenance analysis engine builds on our earlier work in provenance modeling and efficient query execution using a “sub-graph materialization” strategy.The proposed platform will support: (a) computing provenance trails to retrieve history of research study variables, (b) provenance signature with user defined constraints to retrieve only relevant subset of study data, and (c) merge or comparison operations over provenance graphs. We propose to use the National Sleep Research Resource (NSRR), the Center for Sudden and Unexpected Death in Epilepsy (SUDEP) Research (CSR), and data from a lung cancer registry at UCLA as representative biomedical big data repositories to develop and evaluate the provenance analysis engine. The NSRR consists of 50,000 sleep studies from more than 36,000 subjects representing a wide variety of biomedical data, including clinical, biochemical, and physiological covariate data. The CSR is collecting multi-modal epilepsy data to study SUDEP and consists of 14 epilepsy centers across the U.S. and the U.K. The UCLA registry captures clinical reports, labs, imaging, and health-related questionnaire results on a growing number of patients undergoing lung cancer screening

Insight: Data Integration and Cohort Studies



Insight is a Semantic Web technology-based platform to support large-scale secondary analysis of healthcare data for neurology clinical research. Insight features the novel use of: (1) provenance metadata, which describes the history or origin of patient data, in clinical research analysis, and (2) support for patient cohort queries across multiple institutions conducting research in epilepsy, and (3) interactive user interface with data exploration features. Insight is being developed as a healthcare informatics infrastructure to support a national network of eight epilepsy research centers across the U.S. funded by the U.S. Centers for Disease Control and Prevention (CDC). Insight uses a set of Common Data Elements (CDE) developed by the Managing Epilepsy Well (MEW) research network members and the Epilepsy and Seizure Ontology (EpSO) for reconciling data heterogeneity and supporting clinical research queries. At present, Insight stores data from 400 participants representing five completed epilepsy research studies.

Publications

2016

Valdez J, Rueschman M, Kim M, Redline S, Sahoo SS. An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text. 15th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE) 2016: 699-708. (paper)

Sahoo SS, Ramesh P, Welter E, Bukach A, Valdez J, Tatsuoka C, Bamps Y, Stoll S, Jobst BC, Sajatovic M. Insight: An Ontology-based Integrated Database and Analysis Platform for Epilepsy Self-Management Research, International Journal of Medical Informatics, 2016. PMID: 27573308 (in Press) (paper)

Sahoo SS, Wei A, Valdez J, Wang L, Zonjy B, Tatsuoka C, Loparo KA, Lhatoo SD. NeuroPigPen: a Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications using Apache Pig, Frontiers in Neuroinformatics, 10:18. 2016. PMID: 27375472 (in Press) (paper)

Sahoo SS, Wei A, Tatsuoka C, Ghosh K, Lhatoo SD. Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing, Book Chapter (in Press)

Sahoo SS, Valdez J, Rueschman M. Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description, American Medical Informatics Association (AMIA) Annual Symposium, 2016 (Accepted)

Dean DA, Goldberger AL, Mueller R, Kim M, Rueschman M, Mobley D, Sahoo SS, Jayapandian C, Cui L, Morrical MG, Surovec S, Zhang GQ, Redline S. Scaling up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource. 39(5): 1151-64. 2016. PMID: 27070134 (paper)

2015

Yang S, Tatsuoka C, Ghosh K, Lacuey-Lecumberri N, Lhatoo SD, Sahoo SS. Comparative Evaluation for Brain Structural Connectivity Approaches: Towards Integrative Neuroinformatics Tool for Epilepsy Clinical Research. AMIA 2016 Joint Summits on Translational Science. (Nominated for the Best Student Paper Award). PMID: 27570685 (paper)

Ramesh P, Wei A, Sams J, Welter E, Lhatoo S, Sajatovic M, Sahoo SS. Insight: Semantic Provenance and Analysis Platform for Multi-center Neurology Healthcare Research. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015. Accepted (Acceptance Rate: 18%). PMID: 27069752 (paper)

Sahoo SS, Rueschman M, Valdez J, Hsu W, Lhatoo SD, Redline S. Provenance Analysis over Biomedical Big Data Using PROV: Towards Effective Secondary Data Analysis Across Multiple Studies. NIH Big Data to Knowledge (BD2K) Meeting, Bethesda MD. Nov 12-13, 2015 (Poster).

Sahoo SS, Rao P. Provenance Analysis and RDF Query Processing: W3C PROV for Data Quality and Trust. In the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, 2015. (Tutorial, to appear)

Jayapandian C, Wei A, Ramesh P, Zonjy B, Lhatoo SD, Loparo K, Zhang GQ, Sahoo SS. A Scalable Neuroinformatics Data Flow for Electrophysiological Signals using MapReduce. Frontiers in Neuroinformatics. 2015 9:4. PMID: 25852536 (paper)

Sahoo SS, Zhang GQ, Bamps Y, Fraser R, Stoll S, Lhatoo SD, Tatsuoka C, Welter E, Sajatovic M. Managing Information Well: Toward an Ontology-driven Informatics Platform for Data Sharing and Secondary Use in Epilepsy Self-Management Research Centers. Health Informatics Journal, 2015 (in Press). PMID: 25769938 (paper)

LaFrance Jr. WC, Ranieri R, Bamps Y, Stoll S, Sahoo SS, Welter E, Sams J, Tatsuoka C, Sajatovic M. Comparison of common data elements from the Managing Epilepsy Well (MEW) Network integrated database and a well-characterized sample with nonepileptic seizures Epilepsy & Behavior. 2015. PMID: 25825372 (in Press) (paper)

2014

Jayapandian CP, Chen CH, Dabir A, Zhang GQ, Lhatoo SD, Sahoo SS. Domain Ontology As Conceptual Model for Big Data Management: Application in Biomedical Informatics, Proceedings of the 33rd International Conference on Conceptual Modeling (ER 2014) 2014. pp. 144-157 (paper)

Zhang GQ, Cui L, Lhatoo, SD, Schuele SU, Sahoo SS. MEDCIS: Multi-Modality Epilepsy Data Capture and Integration System. American Medical Informatics Association (AMIA) Annual Symposium, 2014. PMID: 25954436 (in press) (paper)

Sahoo SS, Tao S, Parchman A, Luo Z, Cui L, Mergler P, Lanese R, Barnholtz-Sloan JS, Meropol NJ, Zhang GQ. Trial Prospector: Matching Patients with Cancer Research Studies using an Automated and Scalable Approach. Journal of Cancer Informatics 2014. Dec 4;13:157-66. PMID: 25506198 (paper)

Cui L, Sahoo SS, Lhatoo SD, Garg G, Rai P, Bozorgi A, Zhang GQ. Complex Epilepsy Phenotype Extraction from Narrative Clinical Discharge Summaries. Journal of Biomedical Informatics 2014 Oct;51:272-9. PMID: 24973735 (paper) 

Sahoo SS, McIntyre C, Lhatoo SD. A Match Made in Cloud? Meeting the Requirements of the Next Generation Neuroscience Research Using Configurable Cloud Infrastructure. National Science Foundation (NSF) Cloud Workshop, Dec 11-12, 2014 

2013

Sahoo SS, Jayapandian C, Garg G, Kaffashi F, Chung S, Bozorgi A, Chen CH, Loparo K, Lhatoo SD, Zhang GQ. Heartbeats in the Cloud: Distributed Analysis of Electrophysiological “Big Data” using Cloud Computing for Epilepsy Clinical Research. Journal of American Medical Informatics Association JAMIA (special issue on Big Data in Healthcare and Biomedical Research) 2013. 21(2):263-71 PMID: 24326538 (Editor’s Choice Article Special Issue) (paper)

Jayapandian CP, Chen CH, Bozorgi A, Lhatoo SD, Zhang GQ, Sahoo SS. Cloudwave: Distributed Processing of “Big Data” from Electrophysiological Recordings for Epilepsy Clinical Research Using Hadoop. American Medical Informatics Association (AMIA) Annual Symposium, 2013. pp. 691-700 PMID: 24551370 (paper)

Sahoo SS, Lhatoo SD, Gupta DK, Cui L, Zhao M, Jayapadian C, Bozorgi A, Zhang GQ.Epilepsy and Seizure Ontology: Towards an Epilepsy Informatics Infrastructure for Clinical Research and Patient Care. Journal of American Medical Informatics Association (JAMIA), 2013. EPub doi:10.1136/amiajnl-2013-001696 PMID: 23686934 (paper)

Bozorgi A, Chung S, Kaffashi F, Loparo KA, Sahoo SS, Zhang GQ, Kaiboriboon K, Lhatoo SD. Significant postictal hypotension: expanding the spectrum of seizure-induced autonomic dysregulation. Epilepsia. 2013 Sep;54(9):e127-30. doi: 10.1111/epi.12251. Epub 2013 Jun 12. PMID: 23758665 (paper)

Cui L, Mueller R, Sahoo SS, Zhang GQ. Querying Complex Federated Clinical Data Using Ontological Mapping and Subsumption Reasoning. IEEE International Conference on Healthcare Informatics 2013 (ICHI 2013) pp. 351-360. (paper)

Lebo T, Sahoo SS, McGuinness D. (eds.) PROV-O: The PROV Ontology. 30 April 2013, W3C Recommendation. (page)

Sahoo SS, Zhang GQ, Lhatoo SD. Epilepsy Informatics and an Ontology-driven Infrastructure for Large Database Research and Patient Care in Epilepsy. Review Paper, Epilepsia, 2013. 54(8). pp. 1335-41. PMID: 23647220 (Editor’s Choice Article: September 2013) (paper)

Jayapandian CP, Chen CH, Bozorgi A, Lhatoo SD, Zhang GQ, Sahoo SS.Electrophysiological Signal Analysis and Visualization using Cloudwave for Epilepsy Clinical Research. The 14th World Congress on Medical and Health Informatics (MedInfo), Stud Health Technol Inform. 2013. Vol. 192. pp.817-21. PMID: 23920671 (paper)

Asiaee AH, Doshi P, Minning T, Sahoo SS, Parikh P, Sheth A, Tarleton RL. From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. The 9th International Conference on Data Integration in the Life Sciences (DILS), 2013. pp. 38-45. (paper)

Parchman AJ, Zhang GQ, Mergler P, Barnholtz-Sloan J, Lanese R, Miller DW, Opper C,Sahoo SS, Tao S, Teagno J, Warfe J, Meropol NJ. Trial prospector: An automated clinical trials eligibility matching program. Proceedings of the American Society of Clinical Oncology (ASCO) Annual Meeting. 2013.

2012

Jayapandian C, Zhao M, Ewing R, Zhang GQ, Sahoo SS. A Semantic Proteomics Dashboard (SemPoD) for Data Management in Translational Research. BMC Systems Biology, Vol. 6(Suppl 3):S20, 2012. PMID: 23282161 (paper)

Parikh PP, Zheng J, Logan-Klumper F, Stoeckert Jr. CJ, Louis C, Topalis P, Protasio AV, Sheth AP, Carrington M, Berriman M, Sahoo SS. The Ontology for Parasite Lifecycle (OPL): Towards a Consistent Vocabulary of Lifecycle Stages in Parasitic Organisms. Journal Biomedical Semantics (JBMS), 2012. Vol. 23; 3(1): 5. PMID: 22621763 (paper)

Zhang GQ, Sahoo SS, Lhatoo SD. From Classification to Epilepsy Ontology and Informatics. Epilepsia, 2012. Vol. 53(Suppl. 2). pp. 28-32. PMID: 22765502 (paper)

Parikh PP, Minning TA, Nguyen V, Lalithsena S, Asiaee AH, Sahoo SS, Doshi P, Tarleton R, Sheth AP. A Semantic Problem Solving Environment for Integrative Parasite Research: Identification of Intervention Targets for Trypanosoma cruzi. PLoS Neglected Tropical Diseases, 2012. Vol. 6(1): e1458. PMID: 22272365 (paper)

S.S. Sahoo, M. Zhao, L. Luo, A. Bozorgi, D. Gupta, S.D Lhatoo, GQ Zhang, “OPIC: Ontology-driven Patient Information Capturing System for Epilepsy.” Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, Chicago, IL, pp. 799-808, Nov 2012. PMID: 23304354 (paper)

Cui L, Bozorgi A, Lhatoo SD, Zhang GQ, Sahoo SS. EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification. American Medical Informatics Association (AMIA) Annual Symposium, 2012. pp. 1191-1200. PMID: 23304396 (paper)

Zhang GQ, Luo L, Ogbuji C, Joslyn C, Mejino J, Sahoo SS. An Analysis of Multi-type Relational Interactions in FMA Using Graph Motifs. American Medical Informatics Association (AMIA) Annual Symposium, 2012. pp. 1060-1069. PMID: 23304382 (paper)

Teagno J, Kiefer RC, Pathak J, Zhang GQ, Sahoo SS. A Distributed Semantic Web Approach for Cohort Identification. Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, 2012; pp. 1969 (pdf)

Jayapandian C, Ewing R, Zhang GQ, Sahoo SS. A Semantic Proteomics Dashboard (SemPoD) for Proteomics Data Management in Translational Research. AMIA Clinical Research Informatics Summit (CRI), 2012. PMID: 23282161 (paper)

2011

Sahoo SS, Nguyen V, Bodenreider O, Parikh PP, Minning T, Sheth AP. A unified framework for managing provenance information in translational research. BMC Bioinformatics, 2011. Vol. 12:461. PMID: 22126369 (paper)

Zhao J, Sahoo SS, Missier P, Sheth AP, Goble C. Extending Semantic Provenance into the Web of Data. IEEE Internet Computing, 2011. Vol. 15(1). pp. 40-48.(pdf)

Sahoo SS, Ogbuji C, Luo L, Dong X, Cui L, Redline SS, Zhang GQ. MiDas: Automatic Extraction of a Common Domain of Discourse in Sleep Medicine for Multi-center Data Integration. American Medical Informatics Association (AMIA) Annual Symposium, 2011. pp. 1196-1205. PMID: 22195180 (paper)

Sahoo SS. Towards Desiderata for Provenance Ontologies in Biomedicine, International Conference on Biomedical Ontologies (ICBO), 2011. pp. 269-272. (pdf)

Mueller R, Sahoo SS, Dong X, Redline S, Arabandi S, Luo L, Zhang GQ. Mapping multi-institution data sources to domain ontology for data federation: the PhysioMIMI approach. AMIA Clinical Research Informatics Summit (CRI), 2011.

Zhang GQ, Mueller R, Jonhson N, Arabandi S, Sahoo SS, Redline S. Online Exploration of Case-control Study Designs in VISAGE. AMIA Clinical Research Informatics Summit (CRI), 2011.

2010

Barga R, Simmhan Y, Chinthaka-Withana E, Sahoo SS, Jackson J, Araujo N. Provenance for Scientific Workflows Towards Reproducible Research. IEEE Data Engineering Bulletin, 2010. Vol. 33(3). pp. 50-58. (pdf)

Sahoo SS, Bodenreider O, Hitzler P, Sheth AP, Thirunarayan K. Provenance Context Entity (PaCE): Scalable provenance tracking for scientific RDF data. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM), 2010. pp. 461-470. PMID: 25621321 (paper)

Missier P, Sahoo SS, Zhao J, Goble C, Sheth A. Janus: from workflows to semantic provenance and linked open data. The 3rd International Provenance and Annotation Workshop (IPAW), Lecture Notes in Computer Science, Vol. 6378/2010, 2010. pp. 129-141. (pdf)

Deus H, Zhao J, Sahoo SS, Samwald M, Prud’hommeaux E, Miller M, Marshall MS, Cheung K. Provenance of Microarray Experiments for a Better Understanding of Experiment Results. The 2nd International Workshop on Role of Semantic Web in Provenance Management (SWPM 2010), co-located with ISWC, 2010. (pdf)

Patni H, Sahoo SS, Henson C, Sheth A. Provenance Aware Linked Sensor Data, The 2nd International Workshop on Trust and Privacy on the Social and Semantic Web, co-located with ESWC, 2010. (pdf)

Sahoo SS, Groth P, Hartig O, Miles S, Coppens S, Myers J, Gil Y, Moreau L, Zhao J, Panzer M, Garijo D. Provenance Vocabulary Mappings. W3C Provenance Incubator Group Report, 2010. URL: (page)

2009

Sahoo SS, Weatherly DB, Mutharaju R, Anantharam P, Sheth AP, Tarleton RL. Ontology-driven Provenance Management in eScience: an Application in Parasite Research. The 8th International Conference on Ontologies, DataBases, and Applications of Semantics, (ODBASE), 2009. pp. 992-1009. (pdf)

Sahoo SS, Sheth A. Provenir ontology: Towards a Framework for eScience Provenance Management. Microsoft eScience Workshop, 2009. (pdf)

Sahoo SS, Halb W, Hellmann S, Idehen K, Thibodeau Jr. T, Auer S, Sequeda J, Ezzat A. A Survey of Current Approaches for Mapping of Relational Databases to RDF. W3C RDB2RDF Incubator Group Report, 2009. (pdf)

2008

Sahoo SS, Sheth AP, Henson C. Semantic Provenance for eScience: ‘Meaningful’ Metadata to Manage the Deluge of Scientific Data. IEEE Internet Computing, Web-Scale Workflow Track, M.B. Blake and M. Huhns (Eds.), 2008. Vol. 12(4). pp.46-54. (Featured inAssociation of Computing Machinery (ACM) TechNews 2008) (pdf)

Sahoo SS, Bodenreider O, Rutter JL, Skinner KJ, Sheth AP. An ontology-driven semantic mash-up of gene and biological pathway information: Application to the domain of nicotine dependence. Journal of Biomedical Informatics (Special Issue: Semantic Mashup of Biomedical Data), 2008. Vol. 41(5). pp. 752-65. PMID: 18395495 (paper)

Sheth A, Henson C, Sahoo SS. Semantic Sensor Web. IEEE Internet Computing, 2008. Vol. 12(4). pp. 78-83. (pdf)

Valerio MD, Sahoo SS, Barga RS, Jackson JJ. Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows. SWBES08, co-located with the 4th IEEE International Conference on eScience, 2008. pp. 626-33. (pdf)

2007

Sahoo SS, Zeng K, Bodenreider O, Sheth AP. From ‘glycosyltransferase’ to ‘congenital muscular dystrophy’: Integrating knowledge from NCBI Entrez Gene and the Gene Ontology. The 12th World Congress on Health (Medical) Informatics (Medinfo), 2007. pp. 1260–64. PMID: 17911917. (paper)

Sahoo SS, Bodenreider O, Zeng K, Sheth AP. An experiment in integrating large biomedical knowledge resources with RDF: Application to associating genotype and phenotype information. International Workshop on Health Care and Life Sciences Data Integration for the Semantic Web, co-located with WWW2007, 2007. (pdf)

Sahoo SS, Sheth A, Hunter B, York WS. SemBOWSER–Adding Semantics to biological Web services registry. Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Baker CJO, Cheung KO (Eds.), Springer, 2007. pp. 317–40. (pdf)

2006

Sahoo SS, Thomas C, Sheth AP, York WS, Tartir S. Knowledge Modeling and Its Application in Life Sciences: A Tale of Two Ontologies. The 15th International World Wide Web (WWW) Conference, 2006. pp. 317-26。 (pdf)

Sahoo SS, Sheth A. Bioinformatics applications of Web Services, Web Processes and role of Semantics. Semantic Web Processes and Their Applications. Cardoso J, Sheth A (Eds.), Springer, 2006. pp. 305–22.

2005

Sahoo SS, Thomas C, Sheth AP, Henson C, York WS. GLYDE-An expressive XML standard for the representation of glycan structure. Carbohydrate Research, 2005. Vol. 340(18). pp.2802-7. PMID: 16242678 (paper)

Atwood III J, Sahoo SS, Alvarez-Manilla G, Weatherly DB, Kolli K, Orlando R, York WS.Simple modification of a protein database for mass spectral identification of N-linked glycopeptides. Rapid Communications Mass Spectrometry, 2005. Vol. 19(21). pp.3002-6. PMID: 16196021 (paper)

Alvarez-Manilla G, Atwood. III J, Sahoo SS, Guo Y, Warren NL, York WS, Orlando R, Pierce M. Tools for glycoproteomic analysis: size-exclusion chromatography facilitates identification of tryptic glycopeptides with N-linked glycosylation site. Glycobiology 15(1208), 2005. PMID: 16512686 paper

Aleman-Meza A, Halaschek-Wiener C, Sahoo SS, Sheth A, Arpinar B. Template Based Semantic Similarity for Security Applications. The IEEE Intl. Conference on Intelligence and Security Informatics (ISI-2005), 2005. pp: 621-622. (pdf)

Sahoo SS, Sheth AP, York WS, Miller JA. Semantic Web Services for N-glycosylation Process. International Symposium on Web Services for Computational Biology and Bioinformatics, 2005. (pdf)

2004

Sheth A, York WS, Thomas C, Nagarajan M, Miller JA, Kochut K, Sahoo SS, Yi X. Semantic Web technology in support of Bioinformatics for Glycan Expression. W3C Workshop on Semantic Web for Life Sciences, 2004. (pdf)

Our Team


Satya Sahoo, PhD

Assistant Professor of Medical Informatics

Joshua Valdez, MS

Research Associate

Arthur Gershon, PhD

Post-Doctoral Scholar

Xinting Hong, MS

Research Assistant

contact info

phone 216-368-3286
email satya.sahoo@case.edu

address

street 2103 cornell road, room 6119
city, state cleveland, oh
building iris S. & bert l. wolstein research building
zipcode 44106-7291