Nithyaa Bala Email & Phone Number

Carlsbad, Ca, Us

Carlsbad, Ca, Us

Atlanta, Georgia, United States

Selected through the BridgeUP Stem Program in partnership with NCWITCompleting big data and ML research with Dr. Kexin Rong on name disambiguation with publicationsMentoring high school students on data science through 2x weekly classesReceived an $8000 research stipend

Atlanta, Georgia, United States

Work closely with Engineering Exec to plan engineering centric initiatives and events.Work with Engineering Exec to evaluate and improve engineering applications and recruitmentDocument team growth, member feedback, and engineering tools for management, organization, and end-of-semester review

Atlanta, Georgia, United States

Began with HTML, CSS, and JavaScript fundamentals to learn about layouts, functions, and asynchronous programming.Then delved into frontend technology like Reactand practiced javascript, components, state management, and routing.In the backend, learned about Node.js, Express.js, and databses like MongoDB and Mongoose.We completed practical projects like Pokemon generators, a Marta (public transportation) interface, and a final animal shelter project.

San Diego, California, United States

Developed machine learning models with RDKit and scikit-learn (random forest, gradient boost) to predict chemical propertiesTrained PyTorch models (CNNs, GNNs) to predict properties from 2D structures and applied QSAR techniques with MOEModeled molecules using Schrödinger's Maestro for structure preparation, visualization, and conformational analysisConducted hyperparameter tuning to optimize model performance and visualized the results using NumPy and Matplotlib

Atlanta, Georgia, United States

Utilizing advanced machine learning algorithms to design materials in catalysts, solar cells, superconductors, and electronics.Developing atomic-level data-driven algorithms to tackle the QM9 challenge in materials sciences, aiming for chemical accuracy.Implementing advanced Graphic Neural Networks with PyTorch Geometric to analyze spatial and chemical information.

Atlanta, Georgia, United States

Part of a team developing an iOS app called SpotSwap that aims to make finding internship housing easier for students by connecting college students across the country.

Researched specific genes by isolating RNA and analyzed results with machine learning to identify impact on biofluidsImplemented hyperparameter tuning of deep learning models and explored applications to predict impact of gene perturbationsAnalyzed RNA fragment results to match genes and presented results to 5+ colleagues at weekly department meetings

San Diego, California, United States

Worked with an electrical engineering professor as part of BHAVI (Brain Health Alliance Virtual Institute) Explored NLPs, machine learning, and the semantic web through discussions with industry professionals and scientistsCo-authored a paper with a doctoral student on improving the peer review process in publishing through semantic analysisUsed Java and C# in Visual Studio and frameworks like Microsoft Blazor to develop software to aid with brain research

Computer Science

Education record

High School Diploma, Computer Science

Activities and Societies: Robotics, Science Olympiad, National Science Bowl, Carlsbad Education Foundation Student Leadership Council.