First blog post alshedivat#1

chokevin8 · Feb 5, 2023 · 06b4b48 · 06b4b48
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diff --git a/_pages/about.md b/_pages/about.md
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 such as RNA-Seq data or H&E images, to study problems in the field of biology and medicine, such as cancer genomics and cancer diagnosis. 
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-I received a bachelor's degree of science (BS) in Chemical and Biomolecular Engineering from Johns Hopkins University. I'm currently pursuing a master's degree of science in engineering in Chemical and Biomolecular Engineering at Johns Hopkins University as well. I'm currently pursuing research under
-the guidance of Dr. Denis Wirtz in the [Wirtz Lab](https://wirtzlab.johnshopkins.edu/) My personal research expertise/interest is utilizing deep learning image segmentation model(s) in H&E images to find new digital biomarkers in cancer and aging. 
+I received a bachelor's degree of science (BS) in Chemical and Biomolecular Engineering from Johns Hopkins University. Currently, I'm pursuing a master's degree of science in engineering in Chemical and Biomolecular Engineering at the Johns Hopkins University. I'm currently pursuing research under
+the guidance of Dr. Denis Wirtz in the [Wirtz Lab](https://wirtzlab.johnshopkins.edu/). My personal research expertise/interest is utilizing deep learning image segmentation model(s) in H&E images to find new digital biomarkers in cancer and aging. 
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 You can find all about me in my [LinkedIn page](https://www.linkedin.com/in/won-june-kevin-cho-742522174/), and look at my personal work in the [repository](/repositories/) menu. 

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diff --git a/_posts/2023-02-05-stable-diffusion.md b/_posts/2023-02-05-stable-diffusion.md
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+---
+layout: post
+title:  First blog post on the famous latent/stable diffusion model paper!
+date:   2023-02-04
+description: 
+tags: deep-learning machine-learning latent-diffusion stable-diffusion generative-models
+categories: posts
+---
+<blockquote>
+    Welcome to my first blog post! From now on, I'll be trying to do weekly updates on any interesting, recent AI-related topic.
+</blockquote>
+
+For this week, I'll do an in-depth review on the famous, famous latent/stable diffusion model which basically started the stable diffusion boom last year. 
+The reason I'm doing this is because I'm trying to develop a stable diffusion model for my research purposes, which is virtual H&E staining of unstained tissue microarrays. 
+Maybe I could do another blog post on this if the project progresses, or about previous works on this topic. For reference purposes, the stable diffusion paper named "High-Resolution Image Synthesis with Latent Diffusion Models" can be found [here](https://arxiv.org/pdf/2112.10752.pdf).
+<strong> Let's dive right in!
+# Table of Contents: 
+## [Background](#background)
+- ###  [Introduction](#introduction)
+- ###  [Diffusion models are not new!](#diffusion-models-not-new)
+- ### [Stable Diffusion vs GAN](#stable-diffusion-vs-gan)
+## [Stable Diffusion](#stable-diffusion)
+- ### [Model Architecture](#model-architecture)
+- ### [Experiments & Results](#experiment-results)
+## [Variation of Stable Diffusion](#variation-stable-diffusion)
+- ### [xx](#xx)
+
+---
+<a id="background"></a>
+## Background:
+<a id="introduction"></a>
+### Introduction:
+This is the introduction.
+<hr>
+
+
+