About Me
Hi there, I’m Anisha!
I am a high school student with a focus on artificial intelligence and healthcare related research, and a goal of creating positive and tangible community impact with the work I do.
This website provides a general overview of my skills, experience, initiatives and projects. More specific information can be found on my resume.
Reach me at: anisha5parsan@gmail.com
Education and Skills
Academics
2019 – 2023
William P. Clements High School Class of 2023
Related courses: Multivariable Calculus, Organic Chemistry, AP Biology, AP Computer Science (III, IV), AP Chemistry,
AP Physics C, AP Physics II, AP Calculus BC, AP Statistics, AP Environmental Science
GPA: 4.0
Courses Taken
2019
University of San Diego, California - Introduction to Bioinformatics - 6 college credits
2020
-
IBM Data Science Professional Certificate
-
Advanced Biology at John Hopkins University (CTY)
Skills and Abilities
Software and Languages:
Tools:
Python (Tensorflow, Keras, SciPy, NumPy, Pandas), Java, R, SQL, Swift, MATLAB (cwt).
Slicer Imaging Software, Tableau, Excel, BLAST Sequencing, KEGG, Clustal Omega, GEO2R, STRING, Snapgene
Work Experience
MIT DHIVE and NSF’s Innovation Corps
Research Intern
June 2022- Current
Mentor:
Work:
Worked in interdisciplinary team in conjunction with MIT’s Center for Microbiome and the MIT Sandbox program to investigate and coordinate the launch of a startup program dedicated to providing personalized care to inflammatory bowel disease patients. Graduated from DHIVE program, currently under the National Science Foundation I-Corps track.
SiPhox, Boston
Data Analysis and Software Intern
June 2022 - September 2022
Mentor:
Work:
Worked in Boston-based biotech startup to build framework to analyze antibody assay data from biosensor experiments. Conducted data analysis for alpha product launch.
Case Western Center for Imaging Research
Research Intern
May 2021 – September 2021
Mentor: Dr. Pallavi Tiwari
Work:
Developing a U-Net for segmentation Brain MRI for Pediatric Medulloblastoma cases, worked specifically with preprocessing via Slicer and FSL BET.
Stony Brook University Department of Civil Engineering
CSIRE Student
July 2021 – August 2021
Mentor: Dr. Ruwen Qin
Work:
Developing an LSTM-RNN model to classify EEG signal abnormality, achieved an accuracy of 85% which was on par with state-of-the-art model
MD Anderson Cancer Center
Research Intern
June 2022– August 2022
Mentor: Dr. Jia wu
Work:
Worked to develop neural networks to characterize tumor morphology and superpixel segmentation as predictors of survival and clinical patient outcome.
Stony Brook University Department of Civil Engineering
Research Intern
July 2021– Current
Mentor: Dr. Ruwen Qin
Work:
Developing a Convolutional Neural Network to perform silent-speech classification from surface EMG readings using Continuous Wavelet Transform for time-domain manipulation.Research paper submitted as preprint, currently under review.
UT Dallas Center for Machine Learning
Machine Learning Intern
June 2021 – July 2021
Mentor: Dr. Sriraam Natarajan
Work:
Developing a 3D Convolutional Neural Network to predict non-Small Cell Lung Cancer survival outcome from pre-treatment CT scans of patients.
Project Showcase
