Hiyata's Technical Journal
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Hiyata's Technical Journal

Exploring the Intersection of AI and Virology

Welcome to my technical journal, where I write about my latest projects and ideas. My interests lie at the intersection of AI and virology. I currently work at Wayne State University School of Medicine under Dr. Phil Pellett. Here, I share my research, the lessons I've learned, and the challenges I've encountered along the way.

Machine Learning

Advanced machine learning algorithms to learn latent patterns in viral DNA and behavior.

Viral Genomics

Using neural networks to for generative genome design and analysis.

Epidemiology

Analyzing the spread of viral diseases during outbreaks.

Recent Projects

ANYA

Giving control of complex artificial life systems to an LLM agent.

COVID-19 Case Prediction Model Comparison

An advanced COVID-19 case prediction model comparing LSTM/GRU, ARIMA, Random Forest, and XGBoost algorithms.

From Dungeons and Dragons to Proteins and Predictions

A dive into protein predictions and conformational changes in the cellular transport protein Rab3a.

WSUSOM Biochemistry, Molecular Biology, and Immunology Departmental Retreat 2023
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Latest Insights

Migration Patterns Behind HCMV Diversity

Can ancient migration patterns explain the geographic diversity of HCMV and help us better understand varying tolerances to herpesvirus infection?

01 Aug 2024

Theoretical Virology

Exploring the intersection of virology and artificial intelligence, this post delves into the evolutionary history of viruses and their role in driving evolution.

20 Jun 2024
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Let's Connect

Interested in collaborating or have questions about my research? Feel free to reach out!

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Hiyata's Technical Journal

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Hiyata's Technical Journal