Vishwa Nellore

About Vishwa Nellore

Research, highlighted achievements- Winner of Vibrant Digital category of the Merck Innovation Cup 2018; Machine Learning project proposal selected from over applicants from top universities around the world; Invited to Merck to develop the proposal from a technical and business perspective- Awarded the highly selective Pratt Gardner Jr. Fellowship- PhD Research published in the top journal in Nanotechnology, ACS NANO (Impact Factor: 14.8)- PhD research awarded \"Best Research Paper - Biostatistics and Bioengineering\" by the Invited to speak at the largest conference in the field - Conference on the Foundations of Nanoscience- Winner of the \'Best Research Poster Award\'- International Nanomedicine and Drug Delivery Symposium- PhD defense awarded \'Exceeds Expectations\' by the thesis defense committee- Completed the PhD degree in ~4 years while the average graduation time is 6 years.Leadership, highlighted achievements- Lead a group of computational biologists, biostatisticians and bioinformaticians to identify novel regulatory mutations associated with different types of cancers- President of the Duke Advanced Degree (PhD, MD, JD) Consulting Club; pioneered the first advanced degree case competition at Duke; led a team of 9 computer scientists, engineers, public policy specialists and business administrators to evaluate crime related services offered by the Government of Durham; team re-hired to evaluate other government services- Vice Chair, Association for Computing Machinery Women, Duke University Chapter; tarted a wide range of initiatives to increase the number of women choosing Computer Science or Engineering as their major including bringing in influential women scientists as guest speakers, organizing coding clubs and robotics competitions at the university- Volunteer nationally to get middle and high school girls, particularly underrepresented minorities from economically challenged backgrounds, interested in pursuing a career in science and engineering- One Young World Ambassador

Experience

1. Director, Data Science and Ai, Oncology

   AstraZeneca

   Oct 2024 — Present · Boston, MA, US

Education

• Duke University

  Doctor of Philosophy (Ph.D.), Computer Engineering, Ph.D. Thesis Defense - Exceeds Expectations

  2010 — 2014

• Osmania University

  Bachelor's degree, Electrical and Instrumentation Engineering

  2004 — 2008

• Rice University

  Master's degree, Nanoscale Science

  2008 — 2010

Skills

• Next Generation Sequencing Data Analysis
• Machine Learning
• Pattern Recognition
• Data Mining
• Biomarker Discovery
• Biostatistics
• Bioinformatics
• C Programming
• C++ Programming
• Python
• Matlab
• R
• Statistics
• Mathematica
• Data Analysis
• Blast
• Ucsc Genome Browser
• Probability Theory
• Markov Models
• Hidden Markov Models
• Markov Chain Monte Carlo
• Gibbs Sampling
• Bayes Statistics
• Hypothesis Testing
• Regression Analysis
• Correlation Analysis
• Classification
• Stochastic Context Free Grammars
• Support Vector Machines (Svms)
• Random Forests
• Supervised Learning
• Unsupervised Learning
• Expectation Maximization (Em)
• Principal Component Analysis
• Molecular Biology
• Experimental Design
• Dna Sequence Design for Three Dimensional Nanostructures
• Capillary Gel Electrophoresis
• Fluorescence Lifetime Imaging (Flim)
• Fluorescence Microscopy