Prachi Pradeep Email & Phone Number

Berlin, Germany

Raleigh-Durham, North Carolina Area

• Using in-vitro and in-vivo data streams in conjunction with chemical descriptors for research and development of computational models for prediction of toxicokinetic parameters, point of departures and other.
• Developing and improving existing methods for uncertainty quantification in read-across and qsar applications.
• Assessing chemical similarity measures and developing clustering methods for identification and analysis of analogs for their validity for read across toxicity predictions.
• Development of critical effects and tox-values database from various literature sources (ToxValDB).

Siver Spring, Maryland

Development of a Decision Support Algorithm for improving existing Computational Toxicology Models. 1. Talk at the Division of Biology Research Seminar Series - "Updates on computational toxicology and exposure modeling projects." 2. Poster presentation titled "An Ensemble of In Silico Tools for Toxicity Prediction" at the 2013 Annual Office of Science and.

 Calculus I, II and III Statistical Methods Finite Mathematics Theory of Probability

• Roles:
• Subject Matter Expert (SME) for billing applications of AT&T.
• Cluster Lead and SPOC (Single Point of Contact) for the Knowledge Management System and member of the Expert Panel.Responsibilities
• Business Requirement discussions with AT&T business analysts, estimating time and cost, translating business requirements to system requirements, developing design, preparing test cases, developing code, unit and.
• Development of design and testing strategy and developed new features, enhanced existing features and overall application maintenance for AT&T clients.
• Planning, preparation and conducting training programs, technical discussions for new team members and steered projects as a technical lead gaining customer appreciation for timely delivery.

Phd, Computational Sciences

Relevant Courses: Probability, Simulation, Machine Learning, Clinical Pharmacokinetics, Applied Mathematical Analysis, Applied Linear.

Ms, Bioinformatics

Relevant Courses: Introduction to Bioinformatics, Elements of Software Development, Structure & Function of Proteins, Biostatistical.

Ms, Bioinformatics

Awards:  Marquette University Graduate Assistantship  Marquette University, Richard W. Jobling Fellowship, Summer 2010.

B-Tech, Biochemical Engineering

Activities and Societies:  Joint Secretary of Genesis-2006, Technical seminar of the department of BEFT, HBTI.  Member of the Institute.