Tejaswini Narayanan, Phd Email & Phone Number

United States

Alameda, California, US

– Performed extensive analysis, delivered integrated results that enabled target selection for solid tumor indications using CPTAC proteomics, transcriptomics, TCGA, and GTEx data. – Generated suggested bispecific antibody target pairs resulting in collaborative prioritization of more than 5 pairs, by integrating bioinformatics Big Data, including.

La Jolla, CA, US

As a Postdoctoral Researcher at the Bioinformatics and Systems Biology Lab in the Bioengineering Department at UCSD, I work on the following:– Studied Hierarchiacal Modularity in Evolution and Function by building robust and complete algorithmic pipelines to investigate implications of domain-based analysis on identification of disease markers.

As a Research Scientist at SkyHigh Networks, I was involved in projects related to Big Data, and Data Mining, as applied to the domain of Security Intelligence. My work required writing APIs to extensively look up Geo ID – location mapping for customer look ups from the portal. As part of my responsibilities, I also designed Data Mining framework to look.

Milpitas, California, US

As a Data Scientist at FireEye Labs, I- Utilized Big Data analytics, Machine Learning, and Data Mining, to enable the delivery of features and services in products and services.- Built behavioral models to detect fraud and abuse.- Designed, developed, and implemented algorithms for efficient storage and processing of Big Data (on a multi-node Cassandra.

La Jolla, CA, US

- This project constitutes the primary focus of my graduate research, and was executed in my position as a Graduate Student Researcher at the Bioinformatics & Systems Biology Lab in UC San Diego, under the guidance of Dr. Shankar Subramaniam. - The goal of this project was to develop effective computational techniques for identifying functional units.

La Jolla, CA, US

Final year PhD student in the Electrical and Computer Engineering department, specializing in Intelligent Systems

La Jolla, CA, US

Teaching Assistant in the Department of Electrical and Computer Engineering, University of California, San Diego

Selected and served as an organizer for the 7th Annual Workshop on Women in Machine Learning (WiML) 2012, co-located with NIPS 2012

Redmond, Washington, US

Worked on a machine learning approach for unsupervised classification of children into atopic and non-atopic classes using data from a clinical study. The approach leverages allergen-specific exposure levels as a first-class model parameter, and provides valuable additional insights with regard to the influence of exposure on the likelihood of gaining /.

South San Francisco, California, US

Worked on a interdisciplinary collaborative project with the Bioinformatics and the Protein Chemistry groups at Genentech Inc (SFO). The project involved defining, building and verifying a threshold value for a 'good score', which in turn was a measure of significance of Mass Spectrometry allignments.

San Diego, California, US

- The Pottery Informatics Query Database (PIQD) is an online system for the storage, management, retrieval, and analysis of virtual ceramic assemblages. - PIQD is architected as a three-tier system; it supports a web-based front-end (called the PlateMaker), a set of middle-tier components for managing virtual assemblage data / metadata, and a back-end.

* Graduate Student Intern in the Center for Computational Mass Spectrometry, UC San Diego (in collaboration with Genentech, SFO)- This project was a collaborative effort between the Center for Computational Mass Spectrometry (UCSD) and Genentech Inc., and constitutes the primary focus of my Summer Internship (2009) research.

IN

Awarded a Certificate of Excellence by Hindustan Petroleum Corporation (India), for the successful completion of a technical training module on Supply Chain Management.

Stanford, CA, US

Selected for (and attended) the Stanford Summer Session 2007 as an undergraduate auditor, and worked on a research project at the Artificial Intelligence Lab in the Dept. of Computer Science

IN

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering (Specialization: Intelligent Systems)

Master'S Degree, Electrical And Computer Engineering (Specialization: Intelligent Systems)

Bachelor Of Technology (Btech), Electrical Engineering

Education record