Neel Mehta

Location:
1005 E University Dr
Tempe, Arizona
85281
Organization/Institution: 
Arizona State University
Location
Address: 
1005 E University Dr
City: 
Tempe
State: 
Arizona
Zip Code: 
85281
Country: 
United States
Primary Phone Number: 
4804630340
E-mail: 
neel.mehta@asu.edu
Locations Sought: 
Any
Positions Sought: 
Summer Internships, Part time jobs
Education: 
PhD in Biomedical Informatics, Expected by May 2015 Arizona State University, Scottsdale, Arizona Current GPA: 3.4
Years of Experience: 
0
Qualifications: 
Bachelor of Technology in Bioinformatics, Graduated in May 2011 National Institute of Technology, Bhopal, India Cumulative GPA: 3.7

 

 

 

NEEL MEHTA

1005 East University Drive, Apartment 202, Tempe, Arizona, 85281.

(480) 463-0340 – neel.mehta@asu.edu

 

SUMMARY

 · Disciplined, career focused individual interested in Healthcare entrepreneurship, and Translational Bioinformatics.

 · Applied knowledge of Biomedical Informatics in Electronic Health Records (EHRs), Clinical Decision Support (CDS) with experience in applying Statistics, Data mining techniques and Machine Learning algorithms on Biomedical Data

 

WORK EXPERIENCE

Research Assistant, Mayo Clinic, Scottsdale, Arizona August 2012 – present

 · Predictive modeling on liver transplant database - Pre-processed the liver transplant data which was obtained from NIDDK repository and currently developing a machine-learning model to assess the association of HLA polymorphisms on survival cases after liver transplantation and finding correlations among various associated factors.

 

 Graduate Research Assistant, Arizona State University (ASU), Arizona August 2011 – July 2012

 · Gene Prioritization for Alzheimer’s disease - Conducted a comparative study for gene-disease functional relationship and understood its correlated adverse drug reactions using in silico gene prioritization tools

 · Automatic Approaches for Gene-Drug Interaction from Biomedical Text - Annotated genes with drugs from PubMed abstracts using in-house tool and identified inter annotator agreements like F-measure, TPR, FPR, precision and accuracy.

 

 EDUCATION

Ph.D. in Biomedical Informatics, Expected by May 2015Arizona State University, Scottsdale, Arizona Current GPA : 3.4

Bachelor of Technology in Bioinformatics, Graduated in May 2011National Institute of Technology, Bhopal, India Cumulative GPA: 3.7

 

 INTERNSHIPS

 University of Nottingham, Nottingham, United Kingdom June – July 2010

 · Developed a method to find Introgression and sequence comparisons between S. Cerevisiae and S. Paradoxus.

 · Analyzed the genome assembly, build a homology model and phylogenetic tree of S. arboricolus with S. Cerevisiae

 

 Indian Institute of Science Education and Research, Pune, India December 2009 – January 2010

 · Identified Transcription Factor Binding sites (TFBs) across S. Cerevisiae using TRANSFAC database. TFBs obtained from yeast promoter data and found to have DNA binding and transcriptional activity were selected for further analysis and also, regulatory regions of S. Cerevisiae were potentially identified through computational techniques.

 

 PROJECTS

 MELD Score App development, Arizona State University, USA September – December 2012

 · Software Engineering course where System requirements, Design and the Architecture were implemented using MySQL, UMLet, and JAVA We built a layout to integrate APIs with open source Electronic Health Record ‘OpenMRS’ for further use

 

 Undergrad major project, National Institute of Technology, Bhopal, India January – May 2011

 · Annotated 38 genes of S. Lycopersicum mitochondrial genome via in silico techniques using ab initio and sequence search similarity methods in Bioinformatics. Paper will be submitted for publication soon.

 

 SKILLS

 Programming SAS, R, PERL, JAVA, MySQL, HTML, MATLAB

 Software/Tools WEKA, Cytoscape, mVISTA, UMLet, geWorkbench, TreeAge, BLAST, CLUSTALW, Mendeley, VISIO, MS Excel

 Experimental Sequencing, Agarose gel electrophoresis, Chromatography, Primer design and Polymerase Chain Reaction

 Entrepreneurial Business model development, Small business leadership, and Healthcare Supply Chain Management

 

 PROFESSIONAL AFFILIATIONS

 Reviewer – Graduate Professional Student Association’s Jumpstart research and Travel grant, ASU Sept 2012 – present

 Member – Student Advisory Committee, Department of Biomedical Informatics, Arizona State University August 2012 – present

 Chief Business Development Officer – student run startup, FarmiCulture, LLC May 2012 – Jan 2013

 Student member – Entrepreneurs  at ASU,  AMIA,  ASA,  ISCB,  IAEN G,  and IAC SIT 2011 – present

 Peer Reviewer – 3rd International Conference on Machine Learning and Computing February 2011

 

 AWARDS

 · Student research grant – Graduate Professional Student Association (GPSA), Arizona State University 2012-13

 · Scholarship grant for higher studies abroad – JN Tata Endowment, India 2011-12

 · 3rd prize in poster presentation – National conference, Technobia, India 2009

 

 PUBLICATIONS

 · 4 Journal publications in BMC Genomics, RJPBCS,  ARPN and IJ PSR and 1 proceedings in BioNLP conference.

 

Gianni Liti, Alex N Ba, Martin Blythe, Carolin A Müller, Anders Bergström, Francisco A Cubillos, Felix Dafhnis-Calas,Shima Khoshraftar, Sunir Malla, Mehta Neel, et al. “High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome”, BMC Genomics 2013, 14:69 (Journal)

 

Nate Sutton, Laura Wojtulewicz, Mehta Neel, Graciela Gonzalez. “Automatic Approaches for Gene-Drug Interaction Extraction from Biomedical Text: Corpus and Comparative Evaluation:” BioNLP 2012, Montreal, Canada (Proceedings)

 

Mehta Neel, Graciela Gonzalez. “A Comparative Analysis of Knowledge-Based Gene Prioritization Methods: Is the supply greater than the demand”, 9th Annual Rocky Mountain Bioinformatics Conference 2011, Aspen, USA (Abstract)

 

Mehta Neel, “Predictive data mining and discovering hidden values of data warehouse”, ARPN Journal, 1(1), 2011, 1 – 5

 

Mehta Neel, Ajay Raikwar, Pallavi Chouhan, Sandeep Kushwaha “Primer design and analysis of Klebsiella granulomatis strain K22-14 16S rRNA gene”, RJPBCS 1(4), 2010, 1054 – 1060 (Journal)