Aaron C. Bell

株式会社Ridge-i / AI Solutions Engineer

Bunkyo-ku, Tokyo, Japan

Aaron C. Bell

株式会社Ridge-i / AI Solutions Engineer

Bunkyo-ku, Tokyo, Japan

Aaron C. Bell

株式会社Ridge-i / AI Solutions Engineer

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Trained as an astro-datascientist. Dreaming of accelerating research-for-public-impact through cloud computing and machine learning.

For my PhD I used statistics, machine learning, and massive astronomical image data to explore what our galaxy is made of.

NASA Frontier Development Lab

In the future

Ambition

In the future

Curiosity led me to double-major in biology and physics. Finally, I ended up diving into astronomical data science during grad school, studying the molecules floating around in space that can eventually become planets, and even living things.

Mar 2019
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Present

AI Solutions Engineer
Present

Mar 2019 -

Present

Apr 2018
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Mar 2019

Visiting Researcher

Apr 2018 - Mar 2019

June 2018
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Aug 2018

June 2018 - Aug 2018

Working in an extremely diverse team to leverage AI, the Google Cloud Platform, and scientific guidance to probe the edge astronomy and biology. My role in the team, as an astronomy PhD with experience machine learning, is as a conduit between the scientists and Ai engineers. My technical input during the program was valuable in developing a pipeline from varied extreme-life datasets to potential effects on exoplanetary atmosphere stability, leveraging cutting-edge machine le

Mar 2018

東京大学理学系研究科(Graduate School, The University of Tokyo)

博士号/天文学系(Ph.D., Astrophysics)

Mar 2018

Kentucky Ambassador

Oct 2007

Kentucky Ambassador

Oct 2007

Chambliss Astronomy Award for Science Communication

Oct 2012

Chambliss Astronomy Award for Science Communication

Oct 2012

Searching for the Culprit of Anomalous Microwave Emission: An AKARI PAHrange Analysis of Probable Electric Dipole Emitting Regions

Oct 2016

Searching for the Culprit of Anomalous Microwave Emission: An AKARI PAHrange Analysis of Probable Electric Dipole Emitting Regions

Oct 2016

Blind Component Decomposition of the Milky Way

This project is in collaboration with GRID, Inc. We are applying a variety of machine learning techniques to massive, all-sky astrophysical data sets. Our goal is to facilitate breakthroughs in big-astrophysical-data. This field suffers from two major limitations that we think machine learning can help with: 1) Heavy reliance on conventional models (which make very strong assumptions) 2) Too much data! We have more information coming in from satellites and telescopes than we are able to efficiently and thoroughly analyze.

Blind Component Decomposition of the Milky Way

This project is in collaboration with GRID, Inc. We are applying a variety of machine learning techniques to massive, all-sky astrophysical data sets. Our goal is to facilitate breakthroughs in big-astrophysical-data. This field suffers from two major limitations that we think machine learning can help with: 1) Heavy reliance on conventional models (which make very strong assumptions) 2) Too much data! We have more information coming in from satellites and telescopes than we are able to efficiently and thoroughly analyze.

Mar 2017
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Sept 2017

Intern in the Technology Solutions Group

Mar 2017 - Sept 2017

Mar 2015

東京大学理学系研究科(Graduate School of Science, The University of Tokyo)

修士号/天文学系(M.Sc., Astrophysics)

Mar 2015

Oct 2012
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Mar 2013

Research student (研究生)

Oct 2012 - Mar 2013

June 2012
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July 2012

June 2012 - July 2012

May 2012

The Honors College at Western Kentucky University

生物学と物理学 (B.S. Biology and Physics double-major)

May 2012

I double-majored in biology and physics to build a broad platform of knowledge about natural sciences. For example, I took elective classes in ecology and neuroscience due to their interdisciplinary nature. My major interest was in studying connections between biology, chemistry, physics, and astronomy. In my last year and a half, I started to focus on astrophysics. I did small research projects in biology and materials science, and an in-depth project in astrophysics. At the

2009

The Carol Martin Gatton Academy of Mathematics and Science in Kentucky

2009

エンジニア 博士(天文学) ベルアーロン
Present

Present

NVIDIA GPU Grant Recipient

Aug 2018

NVIDIA GPU Grant Recipient

Aug 2018

NASA Frontier Development Lab 2018: Astrobiology Team 1 Abstract for NeurIPS 2018 @ Montreal

NASA Frontier Development Lab 2018: Astrobiology Team 1 Abstract for NeurIPS 2018 @ Montreal


Skills and qualities

jupyter

Recommended by Takeaki Kawai
1

Communication Skill

Recommended by Takeaki Kawai
1

Research

Recommended by Takeaki Kawai
1

Python

Recommended by Takeaki Kawai
1

Git

Recommended by Takeaki Kawai
1

Publications

NASA Frontier Development Lab

July 2018

Searching for the Culprit of Anomalous Microwave Emission: An AKARI PAHrange Analysis of Probable Electric Dipole Emitting Regions

Oct 2016

Accomplishments/Portfolio

NASA Frontier Development Lab 2018: Astrobiology Team 1 Abstract for NeurIPS 2018 @ Montreal

Blind Component Decomposition of the Milky Way

Awards and Certifications

NVIDIA GPU Grant Recipient

Aug 2018

Coursera-Stanford: Machine Learning Course

Apr 2017

Udemy "Intro to Data Science" Course

Jan 2017

JLPT N3 (日本語能力試験3級)

Jan 2017

JLPT N5 (日本語能力試験5級)

July 2015

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Languages

English - Native, Japanese - Conversational