Taeyang Yang
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Taeyang Yang Email & Phone Number

Researcher at 삼성전자
Location: Seoul Incheon Metropolitan Area, Korea, Korea, Republic Of 6 work roles 3 schools
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Current company
Role
Researcher
Location
Seoul Incheon Metropolitan Area, Korea, Korea, Republic Of
Company size

Who is Taeyang Yang? Overview

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Quick answer

Taeyang Yang is listed as Researcher at 삼성전자, a company with 6523 employees, based in Seoul Incheon Metropolitan Area, Korea, Korea, Republic Of. AeroLeads shows a matched LinkedIn profile for Taeyang Yang.

Taeyang Yang previously worked as Researcher at Kakao Corp and Researcher at Kakao Corp. Taeyang Yang holds Doctor Of Philosophy - Phd, Human Factors Engineering from 울산과학기술원.

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삼성전자

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Profile bio

About Taeyang Yang

🏦 AI Researcher @ Kakao Corp🎓 Once a neuroscientist- Consumer neuroscience (Neuromarketing)- Brain-Computer Interface☀️ Blog (https://tyami.github.io/)- Data science

Listed skills include Machine Learning, Data Mining, Human Research, Statistics, and 11 others.

Current workplace

Taeyang Yang's current company

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삼성전자
삼성전자
Researcher
Incheon, South Korea
Website
Employees
6523
AeroLeads page
6 roles

Taeyang Yang work experience

A career timeline built from the work history available for this profile.

Researcher

Current

🧑🏻‍💻 adrec > adrec ranking- ML/DL/LLM-based advertisement recommendation modeling

Apr 2024 - Present

Researcher

🧑🏻‍💻 adrec > CM modeling- ML/DL/LLM-based advertisement recommendation modeling

Jul 2023 - Mar 2024

Researcher

🧑🏻‍💻 knowledge share TF- LLM-based user embedding

Dec 2022 - Jul 2023

Senior Researcher

대한민국

  • 🧑🏻‍💻 Data science cell
  • Defined/concrete ML research directions from ambiguous requirements through communication with stakeholders as a project manager
  • Analyzed diverse data in the financial sector (e.g., user's app activity log, structural (tabular) data from diverse sources, time series stock data)
  • Developing an explainable ML model to automate loan approval decision making system and credit scoring system (CSS) for corporations
  • Developed a data synthesis algorithm for small and imbalanced dataset
  • Developed an explainable anomaly detection algorithm, which provide an individual feature importance for each sample, for risk management system
Apr 2021 - Dec 2022

Research Assistant

Ulsan, Republic Of Korea

  • Research Interests
  • Data science
  • Machine learning & Deep learning
  • Brain-Computer Interface
  • Neuromarketing
Sep 2013 - Feb 2021
3 education records

Taeyang Yang education

Doctor Of Philosophy - Phd, Human Factors Engineering

Activities and Societies: Graduate student association📕 Dissertation Neuromarketing on brand extension evaluation: from neural data.

Human Science International Course

Selected as a participant in 2016 Human Science Summer School • Analyzed actigraphy response to monitor human rest/activity cycles.

Bachelor Of Science (B.S.), Affective And Human Factor Engineering / Engineering And System Design, 3.64 / 4.3 (Magna Cum Laude)

Activities and Societies: Student council (preseident), TEDxUNIST (director)📌 Research assistant • Brain-Computer Interface Lab (PI: Dr..

FAQ

Frequently asked questions about Taeyang Yang

Quick answers generated from the profile data available on this page.

What company does Taeyang Yang work for?

Taeyang Yang works for 삼성전자.

What is Taeyang Yang's role at 삼성전자?

Taeyang Yang is listed as Researcher at 삼성전자.

Where is Taeyang Yang based?

Taeyang Yang is based in Seoul Incheon Metropolitan Area, Korea, Korea, Republic Of while working with 삼성전자.

What companies has Taeyang Yang worked for?

Taeyang Yang has worked for 삼성전자, Kakao Corp, Hana Institute Of Technology (하나금융융합기술원), and 울산과학기술원.

How can I contact Taeyang Yang?

You can use AeroLeads to view verified contact signals for Taeyang Yang at 삼성전자, including work email, phone, and LinkedIn data when available.

What schools did Taeyang Yang attend?

Taeyang Yang holds Doctor Of Philosophy - Phd, Human Factors Engineering from 울산과학기술원.

What skills is Taeyang Yang known for?

Taeyang Yang is listed with skills including Machine Learning, Data Mining, Human Research, Statistics, Python, Deep Learning, Human Data Measurement, and Experimental Design.

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