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AlexDeweyGiovanniniBlog

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Thrown into the Deepend: A Guide to Microprocessors with Internet Connectivity

“I’m smart so I can figure it out” is a very good way to live your life. Too many engineers don’t want to delve into unfamiliar topics, however I really enjoy expanding my wheelhouse and challenging myself where possible.

My Thesis Work: Multimodal and Synthetic Data

While my thesis is in the cogs of being published, because I still wanted to post about it and talk about it on my blog. This is a cut up version that touches on the major keystones of my work. Originally I was doing a PhD, but decided to master out, so my research is more than a typical master’s thesis in terms of scope.

PGQueuer for High-Performance Job Queues

PGQueuer takes a PostgreSQL database and can turn it into a reliable background job processor. The problem becomes how on the face unwieldy the technology is. Because it’s powerful, it requires a lot to get into, especially for people new to backend development.

Honest Research Advice

“Research is a moving target, and our engineering philosophy must move with it.”

How Multimodal Transformers Work For A Medical Usecase

Transformers From The Bottom Up

The Failures of AI Pneumonia Classification

A Hard Journey Ahead

The Theoretical Underpinnings to Analysis of Modern Multimodal Generative Latent Models

“How do we take in complicated data and accurately generate more of it?”

The Data Imputation Deep Dive

An interesting phenomenon in data is that of missing values. What’s even more interesting are the ways missing values mean different things. They can be missing completely at random (MCAR), but more likely there is a cause for why that data doesn’t exist. If we have other pieces of data that suggest why a value might be missing (missing at random: MAR), then not having a value is a value in itself…

The Multimodal Algorithms for Health Deep Dive

This blog post provides a recent exploration into multimodal models related to health. Especially in the case of diagnosis, we hardly ever rely on a single modality to inform our decisions, so we must rely on the multimodal nature of human beings to come up with a comprehensive view of what is going on. This won’t mean that we truly use “everything” in every paper, as in feature selection only…

The Biomedical Signal Processing Deep Dive

In my research and understanding of multimodal models in health, I came across a modality that I dreaded; unidimensional data. How do you deal with such a modality? What’s tricky is that unlike other modalities it isn’t discussed as much and oftentimes feels underdeveloped in the literature. With no formal training in how to deal with this topic, I went back and read the first seven chapters of…