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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

In this project, I devleop a small CNN model that accurately predicts the 15 facial keypoints of an face. The dataset is from a popular Kaggle competition. I preprocess the data using various data augmentation methods, and train a CNN model that uses a LR scheduler.

Evaluating Causal-Based Fairness Metrics and Statistical Fairness Metrics ⚖️

In this paper, we developed a casual fairness pipeline for observational data. This pipeline can be applied to analyze classification outcomes and give insight into the effect of statistical fairness mitigation algorithms.

Self-Evaluation Using Zero-Shot Learning 🤖

The goal of this project is to create a system that utilizes a self-evaluation policy to determine whether a task has been completed, and self-identify errors made during task execution without a human evaluator.

An Analysis of Predictive Identification for Major Depressive Disorder Using Transfer Learning 🧠 🩻

Problems such as identifying Schizophrenia and Alzheimer’s have shown great results when using neural networks. In this paper, we analyze the results of using transfer learning to identify MDD in MRI scans.

Predicting Plant Sensitivity Based on Root System Responses to Phytohormones in Arabidopsis using Transfer Learning 🌱 🧬

We propose a new architecture based on transfer learning and SNP data to describe the sensitivity of arabidopsis accessions in response to phytohormone perturbation.

Neural Distance Embeddings for Biological Sequences 🧬

The goal of this project was to reimplement several key aspects of a recent paper by Corso et al. concerning a new method for learning embeddings for biological sequence data, as well as to extend the analysis to novel data and train-test split methods.

Explainable AI - Identifying Model Forms 🧪

We propose a methodology that uses an ontology—a knowledge base on chemical engineering model forms, relationships, and fundamental laws—in tangent with a novel search algorithm that structurally and contextually matches an equation to its corresponding first-principle definition.

Identifying Hidden/Indirect Bias in Surgical Outcomes of Colorectal Procedures 👨‍⚕️ 🏥

Analyze and identify hidden/indirect bias that affected the outcome of colorectal procedures in U.S. hospitals.

COVID-19 Dashboard 🤒

In this project, I create an analytics dashboard to track COVID-19 globally and nationally using differenct filters. The dashboard continously gathers data hourly to provide real-time analytics. Analytics can be stratified by race, gender, country, state and many more!

publications

An Investigation of Differences in Ideal Cardiovascular Health Between Sexual Minority and Heterosexual Adults: Findings From the National Health and Nutrition Examination Survey (2007-2016)

Published in Circulation, 2022 Paper

In this study, we analyzed cross-sectional data from the National Health and Nutrition Examination Survey (2007-2016). Questionnaire, dietary, and physical examination data were used to assess the seven metrics included in the Life's Simple 7 measure.

Differences in Ideal Cardiovascular Health Between Sexual Minority and Heterosexual Adults

Published in JAMA Cardiology, 2023 Paper

Research on the cardiovascular health (CVH) of sexual minority adults has primarily examined differences in the prevalence of individual CVH metrics rather than comprehensive measures, which has limited development of behavioral interventions.

Predicting Glaucoma Progression to Surgery with Artificial Intelligence Survival Models

Published in Ophthalmology Science, 2023 Paper

In the present study, we developed survival-based AI models for predicting glaucoma patients' progression to surgery, comparing performance among regression-, tree-, and deep-learning-based approaches.

An Examination of Differences in Ideal Cardiovascular Health Between Sexual Minority and Heterosexual Adults in the All of Us Research Program

Published in Circulation, 2023 Paper

We analyzed data from the All of Us Research Program to examine sexual identity differences in CVH using the American Heart Association’s Life's Essential 8 measure of ideal CVH

Social Determinants of Health and Perceived Barriers to Care in Diabetic Retinopathy Screening

Published in JAMA Ophthalmology, 2023 Paper

This study evaluated the associations between visiting an eye care practitioner for diabetic retinopathy screening and factors related to overall health and social determinants of health, including socioeconomic status and health care access and utilization

Rohith Ravindranath

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