Education
PhD Candidate in Computational Science, The University of Texas at El Paso (2021)
Dissertation: Gene selection and classification in different high-throughput biological datasets with integrated bioinformatics and machine learning algorithms.
Advisor: Dr. Ming-Ying Leung
Co-advisor: Dr. Sourav Roy
Area of Study: Machine Learning and Bioinformatics.
MS in Computational Science, The University of Texas at El Paso (2019)
Dissertation: Gene selection and classification in different high-throughput biological datasets with integrated bioinformatics and machine learning algorithms.
Advisor: Dr. Sangjin Kim
Co-advisor: Dr. Ming-Ying Leung
Area of Study: Statistical Machine Learning.
M.Tech in Bioinformatics, R V College of Engineering (2014)
Area of Study: Bioinformatics and data mining.
Thesis: Subcellular Localization Prediction using Classification and Association Rules
B.E in Computer Science and Engineering, Sai Vidya Institute of Technology (2012)
Project: Multi-Bank Transaction App Using Secure Electronic Transactions
Selected Graduate Coursework in Computational Science
Introduction to Data Mining
Statistical Data Mining
Statistical Programming
Numerical Optimization
Mathematical & Computer Modelling
Deep Learning
Database Management Systems
Selected Graduate Coursework in Bioinformatics
Biomolecular Modelling and Simulation.
Neural Networks & Visual Computing
Data Warehousing and Data Mining
Artificial Intelligence
Systems Biology.
BioPerl, BioPython & NCBI C++ Toolkit
Statistical & Probabilistic Methods for Bioinformatics
Bio-molecules, Molecular Engineering and Genetic Engineering.
Java and J2EE
Selected Undergraduate Coursework in Computer Science and Engineering
Engineering Mathematics - I, II, III, IV
Design and Analysis of Algorithms
Object oriented programming with C++
Discrete Mathematical Structures
Unix and Shell Programming
Database Management Systems
C# Programming and .NET
Programming the web
Formal Languages and Automata Theory
Java and J2EE