Jason Chin – Medium

Jason Chin

A Simple Creature Learning Generative Diffusion Model

Picture this: a creature exists that can only perceive images made up of a grand total of two pixels, each in one of sixteen glorious…

7 min readJan 17, 2024

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A Simple Creature Learning Generative Diffusion Model

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Jason Chin

Why Do Contigs Break in a Genome Assembly?

Human Genome Reference Remains Incomplete

7 min readJun 7, 2020

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Why Do Contigs Break in a Genome Assembly?

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Jason Chin

Constructing A Graph for Genome Comparison Swiftly

Introduction

8 min readNov 4, 2019

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Constructing A Graph for Genome Comparison Swiftly

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Jason Chin
in
Towards Data Science

Deep Learning Approach for Separating Fast and Slow Components

Some Background

6 min readJan 20, 2019

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Deep Learning Approach for Separating Fast and Slow Components

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Jason Chin

DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch

Can we construct an error free consensus sequence from a set of noisy sequences using a neural network?

9 min readMar 28, 2018

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DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch

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Jason Chin
in
Towards Data Science

Simple Convolutional Neural Network for Genomic Variant Calling with TensorFlow

AI/Machine Learning in Biotech Startups

10 min readJul 16, 2017

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Simple Convolutional Neural Network for Genomic Variant Calling with TensorFlow

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Jason Chin

From Boltzmann’s Atoms to “Knowledge Atoms”

“In 1904 at a physics conference in St. Louis most physicists seemed to reject atoms and he was not even invited to the physics section.” —…

5 min readMar 11, 2017

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From Boltzmann’s Atoms to “Knowledge Atoms”

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Jason Chin
in
Intuition Machine

Some Thoughts about “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”

I have downloaded this paper “Deep Unsupervised Learning using Nonequilibrium Thermodynamics” for while but only read it through today. The…

3 min readFeb 28, 2017

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Some Thoughts about “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”

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Jason Chin

E.T. Jaynes’ “Information Theory and Statistical Mechanics”

“Information Theory and Statistical Mechanics” is the title of a paper that E.T. Jaynes published about 60 years ago. (Official journal…

2 min readFeb 22, 2017

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E.T. Jaynes’ “Information Theory and Statistical Mechanics”

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Jason Chin

Statistical Physics and Machine Learning

When I was young, I was attracted to physics for two things (1) elegant math that connects the abstract beauty and the physical world and…

2 min readFeb 18, 2017

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Jason Chin

Jason Chin

Common thing in the following subjects: physics, computation, bioinformatics, systems bio., software, engineering? -- A curious mind. The opinions are my own.

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