Nishanth Basava Email & Phone Number

Chattanooga, Tn, Us

Atlanta, Georgia, United States

Selected as a Winship SSRP Scholar (<5% acceptance rate) working as a biomedical research intern in Dr. Beyett's lab in the Department of Pharmacology and Chemical Biology. Our project involves drug development for Pediatric Brain Cancer by targeting the Lin28B pathway through crystallization, binding assays, and optimizing binding affinity in silico.Skills: DSF, Protein Purification (E. Coli, SDS-PAGE Gels, Columns, FPLC), Crystallization, Molecular Docking (Schrödinger), PyMol, Prism, Coot, ChemDraw, Drug Development

Cambridge, Massachusetts, United States

Currently conducting research in the Biostatistics department on working with Non-negative Matrix Factorization and Bayesian models to predict mutational signatures from a patient's entire TCGA file. Working towards a Pan-cancer analysis of whole-exome and whole-genome sequencing data to identify mutational signatures in the non-coding region of cancer genomes.Skills: Bayesian Statistics, R, Data Pipelining, NMF, Kraken, Analytical Reasoning

Chattanooga, Tennessee, United States

Nexus Learning, a 501(c)(3), is on a mission to raise funds for childhood cancer research through non-traditional, interactive camps and clubs (Debate, Health, STEM, etc). Every child deserves a cancer-free life, and we are committed to maximizing impact—100% of our received funds, totaling over $5,000 to date (Fundraising ROI: 142.86, 30-week Average Retention Rate), directly support research for better treatments and cures through our partnership with Relay For Life and the American Cancer Society. Have established chapters across 6 countries and 15 states, organizing national advocacy efforts at ACS Cancer Action Days and awareness efforts in our fight towards a cancer-free future.

Chattanooga, Tennessee, United States

Was selected as an Inspirit AI Scholar; Learned the basics of Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and Keras. Built machine learning models for detecting benign and malignant cancer cells from breast cancer biopsies to presenting a final project on Object Detection from Street Images in real-time Skills: Linear and Logistic Regression, KNNs, Decision Trees, Natural Language Processing (NLP), Dense Neural Networks, Convolutional Neural Networks (CNNs), YOLO, Computer Vision

Johnson City, Tennessee, United States

Was one of the 30 selected applicants (out of 1000+) to attend the Integration of Biological and Statistical Sciences (IB&SS) Governor's School at ETSU. Took 3 college courses (BIOL-1111, BIOL-1110, and MATH-1530) for 7 college credits; conducted research on developing a genetically-modified organism that may assist in combating ocean acidification and statistically analyzing the PET/CT scan data collected from 355 lung cancer patients ranging from T, M, and N-stage to histopathological grading for predictive machine learning classification models.Skills: R, ggplot, statistical analysis, gel electrophoresis, bacterial transformation, predictive modeling