Navigating Public Policy, Technology, Health, Data, and Innovation for a Fairer Future
pre-publication versions of academic or policy articles
Over the past several years I put together a set of lecture notes for teaching bioinformatics, pairing classic Python/BioPython methods with AI-assisted workflows so students could see both approaches side by side. I’ve cleaned them up and organized them into a free 14-chapter book: Bioinformatics with AI: A Modern Introduction. It moves from the basics Read More “Bioinformatics with AI: A Modern Introduction”
Artificial intelligence now shapes decisions about jobs, loans, healthcare, and education. When those systems carry bias, the consequences are real for the people affected. One of the biggest obstacles to fixing that problem is surprisingly basic: everyone uses different language to describe it. Researchers, policymakers, auditors, and educators often mean the same thing but talk Read More “The Missing Language of AI Accountability”
Abstract Voice of America (VOA), a U.S. government-funded international broadcaster, has traditionally served as a nonpartisan tool of American soft power. However, former President Donald Trump has exhibited an unprecedented hostility toward VOA, viewing it as an adversary rather than an asset. This paper examines Trump’s long-standing grievances against VOA, beginning with his first term Read More “Donald Trump’s Grievances Against Voice of America: A Historical Analysis (working paper)”
Doc, As I sit down to write this letter on the first day of a brand new year, I can’t help but reflect on the journey that brought me here. The past year was filled with lessons, growth, and moments that shaped who I am today. I hope by the time you read this, you’ll Read More “A Letter To My Future Self”
This write-up outlines the intern’s work on an important project involving maternal morbidity in Indiana. The intern will engage in various stages of data analysis and machine learning development, contributing to ongoing efforts to better understand maternal and child health outcomes over the past decade. Project Overview: The intern will collaborate on analyzing a dataset Read More “Intern Notes”
Honestly, I don’t know how I will have time for this one but I think its an important concept, so out into the universe it goes. I’m thrilled to introduce the Comparative Computational Mathematics Project (CCMP). This ambitious endeavor aims to dissect and compare the nuances of programming mathematical concepts across multiple programming languages. The Read More “The Comparative Computational Mathematics Project”
The advancement of Large Language Models (LLMs) has brought about a revolution in artificial intelligence, offering capabilities that span from understanding and generating human-like text to making complex decisions. However, the reliance on extensive internet-derived datasets for training these models has perpetuated existing societal biases into AI systems. This blog post delves into the creation Read More “The Genesis of Synthetic Data: A Beacon of Hope for Bias-Free AI”
Recent studies have illuminated the presence of gender bias in AI diagnostic tools, a critical concern in the realm of healthcare technology. The integration of Artificial Intelligence (AI) in medical diagnostics, while promising for enhancing healthcare delivery, is not impervious to biases that can perpetuate inequities, particularly those related to gender. A notable study conducted Read More “Addressing Gender Disparities in AI Diagnostic Accuracy”
Most recently, the United States has witnessed a groundswell of support for the decriminalization and legalization of marijuana, particularly for medical purposes. Medical marijuana has been hailed for its therapeutic benefits in alleviating chronic pain, managing severe epilepsy, and even ameliorating the nausea associated with chemotherapy (National Institute on Drug Abuse, 2021). Despite its potential, Read More “The Case for Nationwide Medical Marijuana Legalization and a Just Tax Policy”
This exploratory data analysis delves into the intricacies of maternal and infant health metrics in Indiana from 2010 to 2020. The dataset comprises 813,837 records and spans a gamut of health indicators, demographic features, and regional descriptors. The investigation revolves around the variables MOTHER_RESID_COUNTY_TYPE and MOTHER_AGE_GRP to dissect the data’s multidimensional aspects. Employing descriptive statistics, Read More “Exploratory Data Analysis for Maternal and Child Health in Indiana: A Decadal Perspective (2010-2020)”