Other Research History:

Undergraduate Thesis - Measuring Possible Future Selves Using NLP (PI: Prof. Lijun Cheng) March 2019 - May 2020

Advisor: Prof. Silvia Knobloch-Westerwick. Co-Advisor: Prof. Jeremy Morris.

• Preprocessed the text data and updated data to work TorchText.
• Implemented LSTM, and CNN networks using PyTorch. Added Decision Trees for weighted ensemble learning.
• Implemented two different approaches where distance metric and probabilistic metric was used differently in combination with two different training techniques where K-Fold validation was compared with training using EPOCHS.
• Measured results, found accuracy and recall for each label and their reliability using Krippen- dorff’s alpha.

Student Researcher - Biomedical Informatics, Wexner Medical Center (PI: Prof. Lijun Cheng.) May 2019 - May 2020

• Formulated an automated pipeline for reproducibility of data analysis. Annotated each gene based on data platform and probe ids for each mRNA-Seq data.
• Standardized all cell lines by their house keeping gene.
• Analyzed cell line data using GSEA (Gene Set Enrichment Analysis).
• Organized results in time sequence for further analysis.
• Calculated spearman-correlation across cell lines samples for analyzing cross-talk of genes.
• Found effects of time series impact on treatment-caused resistance.

Student Researcher - SEMI-ME Communications Research Lab (PI: Prof. Silvia Knobloch-Westerwick) May 2018 - May 2020

• Developed websites with Angular frontend with NodeJS and PHP backend for data collection on selective exposure experiments.
• Creating data analysis tools for obtained results and allowing automation of time-series data.

Research Assistant - High Performance Computing and Software Lab (PI: Prof. Xiaodong Zhang) January 2020 - May 2020

• Developed a python interface and package to utilize a completed CUDA integrated version of Ripser, a Topology analysis tool for Vietoris–Rips persistence barcodes.