Hasita Nalluri Email & Phone Number

Charlottesville, Virginia, United States

Charlottesville, Virginia, United States

Trained in baby cuddling for infant patients & C+

Charlottesville, Virginia, United States

Volunteer at UVA Children's Hospital. Meet, greet, and care for pediatric patients and families.

Charlottesville, Virginia, United States

- Worked with transgenic Parkinsonian and wild-type fruit flies to examine how dietary iron intake impacts fly locomotor and circadian behaviors.- Determined and supplied effective but safe iron-rich diets for fruit flies.- Tested fly behaviors via negative geotaxis assay and DAM. - Analyzed data with machine learning techniques, specialized software (ShinyR-DAM, ActogramJ), and statistical analysis (ANOVA).- Created protocols for developing fruity fly media, scoring geotaxis assay data, and analyzing DAM data for future use in the Neuroscience lab. - Saw some significance in fly behaviors based on dietary iron intake. - Presented research at the 2022 tjSTAR Symposium.

- Worked under Dr. Mark Hallett and Dr. Silvina Horovitz in the Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS).- Conducted a longitudinal data analysis of iron accumulation in PD by applying computational techniques to patient MRI brain scans, primarily with the AFNI software.- Registered and reconstructed various types of MRI images. Determined regions of interest and extracted values from images based on patient information and PD pathology. - Curated and presented a literature review of recent research involving PD and iron. - Presented research at the 2021 NIH Summer Research Symposium.

Fairfax, Virginia, United States

- Worked under Dr. Vasiliki Ikonomidou in the Volgenau School of Engineering as part of the Aspiring Scientists Summer Internship Program.- Created software that conditioned, analyzed, and extracted heart rate variability features from electrocardiogram data of epilepsy patients. - Utilized machine learning classification to develop a seizure detection algorithm that identified epileptic seizures at an accuracy rate of 86.04%. - Used Python, hrvanalysis, heartpy, scikit-learn, numpy, pandas, os, sys, csv, and the PhysioBank Automated Teller Machine.- Research published in abstract.

Bachelor Of Arts - Ba, Neuroscience

Activities and Societies: Medical Services through Madison House (Program Director), Chak De Charlottesville (Mixer Chair), Remote Area.

Education record

Dual Enrollment: Multivariable Calculus (213), Matrix Algebra (203)

Advanced Studies Diploma

Activities and Societies: TJ GIVE (Founder and President), Ethics Bowl (Captain), Congressional Debate (Chief Education Director.