Gan Luan
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Gan Luan Email & Phone Number

Applied Scientist at AWS Generative AI Innov Center at Amazon
Location: New York City Metropolitan Area, United States, United States 8 work roles 3 schools
2 work emails found @njit.edu LinkedIn matched
4 data sources Profile completeness 100%

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Work email l****@njit.edu
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Current company
Role
Applied Scientist at AWS Generative AI Innov Center
Location
New York City Metropolitan Area, United States, United States
Company size

Who is Gan Luan? Overview

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Quick answer

Gan Luan is listed as Applied Scientist at AWS Generative AI Innov Center at Amazon, a company with 500669 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at njit.edu and a matched LinkedIn profile for Gan Luan.

Gan Luan previously worked as Applied Scientist II -- AWS Generative AI Innov Center at Amazon and Applied Scientist II - Delivery Experience at Amazon. Gan Luan holds Doctor Of Philosophy - Phd from New Jersey Institute Of Technology.

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Email format at Amazon

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{last}@njit.edu
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Profile bio

About Gan Luan

Gan Luan is a Applied Scientist at AWS Generative AI Innov Center at Amazon. They possess expertise in data analysis, research, molecular biology, cell culture, cell biology and 5 more skills. They is proficient in English.

Listed skills include Data Analysis, Research, Molecular Biology, Cell Culture, and 6 others.

Current workplace

Gan Luan's current company

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Amazon
Amazon
Applied Scientist at AWS Generative AI Innov Center
seattle, washington, united states
Website
Employees
500669
AeroLeads page
8 roles

Gan Luan work experience

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Applied Scientist Ii -- Aws Generative Ai Innov Center

Current

New York City Metropolitan Area

Jul 2024 - Present

Applied Scientist Ii - Delivery Experience

- Led and designed an online domain-specific Q&A chatbot powered by LLM and Retrieval Augmented Generation(RAG). Facilitated cross-functional collaboration to gather domain documents through multiple resources, refine prompts to output inline citations and thinking process, automate response accuracy assessment, and seamlessly deploy the chatbot. Currently.

Jul 2023 - Jun 2024

Applied Scientist - Delivery Experience

- Led the development of a multi-modal ML system addressing the challenge of identifying undisclosed delivery-related defects. Orchestrated cross-organizational collaboration to verify defect candidates; identified and resolved 5 deeply hidden delivery-related defects, which impacted more than 100k US customers.- Designed and implemented ML causal.

Jan 2022 - Jul 2023

Research Assistant

Newark, New Jersey, United States

- Develop novel scalable statistical methods and scalable inference procedures for analyzing growing large-scale data- Develop spatial quantile regression approaches via stochastic gradient decent algorithms,, along with scalable inference procedures based on random perturbation- Implement proposed algorithm with R packages

Sep 2020 - Dec 2021

Statistical Consultant

– Automated statistical analysis and visualization by Python for a biomedical research lab.– Developed and presented a Python program for numerical simulations to a group of 30ish.– Presented the application of machine learning and AI in pharmaceutical industry to health and mathematics students group of 100ish.

Jun 2018 - Dec 2021

Applied Scientist

May 2021 - Aug 2021

Biostatistician Intern

Berkeley Heights, NJ

– Created an R package by writing > 10k lines of code to implement Bayesian models for adverse events identification without multiplicity issue.– Established parallel computing algorithm using R packages, improving model performance by > 20 times.– Accelerated model development and refining by adopting AWS cloud computing platform.– Designed an R Shiny App.

Jun 2019 - Aug 2019
Team & coworkers

Colleagues at Amazon

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3 education records

Gan Luan education

FAQ

Frequently asked questions about Gan Luan

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What company does Gan Luan work for?

Gan Luan works for Amazon.

What is Gan Luan's role at Amazon?

Gan Luan is listed as Applied Scientist at AWS Generative AI Innov Center at Amazon.

What is Gan Luan's email address?

AeroLeads has found 2 work email signals at @njit.edu for Gan Luan at Amazon.

Where is Gan Luan based?

Gan Luan is based in New York City Metropolitan Area, United States, United States while working with Amazon.

What companies has Gan Luan worked for?

Gan Luan has worked for Amazon, New Jersey Institute Of Technology, and Celgene.

Who are Gan Luan's colleagues at Amazon?

Gan Luan's colleagues at Amazon include Brian Larios, René Labric, Namita Manoj Rane, Afolabi Afolayan, and Parthiban Perumal.

How can I contact Gan Luan?

You can use AeroLeads to view verified contact signals for Gan Luan at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Gan Luan attend?

Gan Luan holds Doctor Of Philosophy - Phd from New Jersey Institute Of Technology.

What skills is Gan Luan known for?

Gan Luan is listed with skills including Data Analysis, Research, Molecular Biology, Cell Culture, Cell Biology, Biochemistry, Western Blotting, and Pcr.

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