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Yee Seng Chan Email & Phone Number

AI Scientist at AvodahMed™
Location: Boston, Massachusetts, United States 8 work roles 1 school
1 work email found @quattr.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email y****@quattr.com
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Current company
Role
AI Scientist
Location
Boston, Massachusetts, United States

Who is Yee Seng Chan? Overview

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Quick answer

Yee Seng Chan is listed as AI Scientist at AvodahMed™, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at quattr.com and a matched LinkedIn profile for Yee Seng Chan.

Yee Seng Chan previously worked as Senior Researcher at Elemental Cognition and Scientific Advisor at Quattr. Yee Seng Chan holds Doctor Of Philosophy - Phd, Computer Science from National University Of Singapore.

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Email format at AvodahMed™

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ychan@quattr.com
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Profile bio

About Yee Seng Chan

Seasoned NLP professional. Served as a scientist, tech lead, R&D lead, hands-on manager, principal investigator, and mentor. ● Led multi-million projects, receiving praise from important clients for NLP solutions.● Created and built Raytheon BBN Technologies' deep learning NLP system.● Track record of building state-of-the-art winning NLP solutions in multiple professional and academic international competitions.● Expertise with deep learning NLP and LLMs in various tasks such as: information extraction, fine-tuning, prompt engineering, model customization, DPO, end-to-end RAG, etc. using encoders, T5, LLaMA, Mistral, etc.● Fostered strong relationships with external stakeholders (including DoD and top universities) and corporate clients towards delivering cutting-edge NLP solutions.

Listed skills include Python, Research And Development, Machine Learning, Transformer, and 5 others.

Current workplace

Yee Seng Chan's current company

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AvodahMed™
Avodahmed™
AI Scientist
AeroLeads page
8 roles

Yee Seng Chan work experience

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

Ai Scientist

Current

Westlake, Texas, Us

Apr 2024 - Present

Senior Researcher

New York, Ny, Us

● Spearheaded the development of custom transformer models for information extraction in the cybersecurity domain.● Leveraged a custom contrastive transformer model to provide an ontology-agnostic solution that links text mentions to an authoritative biomedical knowledge base.● Developed a GPT-3.5 based solution that dynamically generates titles and definitions for user-selected text.

May 2023 - Nov 2023

Scientific Advisor

Palo Alto, Ca, Us

Dec 2022 - Apr 2023

Distinguished Scientist & Engineer

Palo Alto, Ca, Us

Led the data science team with a hands-on approach, driving significant improvements in client Googlesearch rankings through strategic SEO optimizations.Received praises from high-profile clients for rapidly delivering innovative NLP solutions that enhanced business operations:● Innovated a GPT and sentence-transformer based prototype for improving site navigability with automated internal linking and smart anchor text generation.● Engineered a solution that categorizes millions of top webpages of a corporate client into their internal taxonomy and pinpointed taxonomy gaps using Google search data.Acknowledged by the CEO for outstanding leadership, creative problem-solving, and commitment toprojects, highlighted in a company-wide commendation.

Feb 2022 - Nov 2022

Senior Scientist And Senior Principal Engineer

Arlington, Va, Us

Engineering lead in multilingual NLP information extraction. Principal investigator in DARPA funded program that performs information extraction, event causality and text clustering.Served in multiple parallel capacities: ● Principal investigator and R&D lead in projects.● Primary developer and mentor of Raytheon BBN’s deep learning NLP R&D system, which had become integral to nearly all of Raytheon BBN's NLP projects● Collaborated with external stake-holders in Government, private organizations, and universities.

May 2021 - Feb 2022

Scientist Ii

Arlington, Va, Us

Creator, architect, and primary developer of Raytheon BBN's flagship deep learning R&D machine learning (ML) system for NLP, which served as the foundation system in multiple multi-million dollar NLP programs. The system builds upon PyTorch and transformer deep learning models to enable a variety of NLP tasks, such as information extraction, event extraction, relation extraction, clustering, coreference, named entity recognition and more.Principal investigator (PI) and engineering lead in multiple multi-million NLP programs. These programs range from multilingual information extraction, clustering to discover salient concepts in corpus, relation extraction, to prediction of future cyber security incidents.Served as consultant and mentor. Selected and served as NLP/ML expert advisor and judge for Raytheon Innovation Challenge, on topics regarding "AI, ML, and expert systems for national security". Mentored and worked with developers to perform deep learning R&D work in NLP programs.

Oct 2016 - Apr 2021

Scientist - Nlp

Arlington, Va, Us

Led R&D in an IARPA project to identify novel concepts from text in 2015, which predated the release of PyTorch. Designed an in-house cosine-similarity loss and coded from scratch a Python solution thatperforms gradient descent on word embeddings vectors to optimize the similarity loss.A core developer in Raytheon BBN’s winning event extraction systems in TAC-KBP 2014 and 2015.

Nov 2011 - Sep 2016

Postdoctoral Researcher

Champaign, Il, Us

Postdoc in Professor Dan Roth's CCG group, publishing three papers in top tier NLP conferences (ACL, EMNLP, CoNLL) on relation extraction and event causality extraction.

Nov 2009 - Nov 2011
1 education record

Yee Seng Chan education

  • National University Of Singapore
    National University Of Singapore
    Computer Science
FAQ

Frequently asked questions about Yee Seng Chan

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

What company does Yee Seng Chan work for?

Yee Seng Chan works for AvodahMed™.

What is Yee Seng Chan's role at AvodahMed™?

Yee Seng Chan is listed as AI Scientist at AvodahMed™.

What is Yee Seng Chan's email address?

AeroLeads has found 1 work email signal at @quattr.com for Yee Seng Chan at AvodahMed™.

Where is Yee Seng Chan based?

Yee Seng Chan is based in Boston, Massachusetts, United States while working with AvodahMed™.

What companies has Yee Seng Chan worked for?

Yee Seng Chan has worked for Avodahmed™, Elemental Cognition, Quattr, Raytheon Bbn Technologies, and University Of Illinois At Urbana-Champaign.

How can I contact Yee Seng Chan?

You can use AeroLeads to view verified contact signals for Yee Seng Chan at AvodahMed™, including work email, phone, and LinkedIn data when available.

What schools did Yee Seng Chan attend?

Yee Seng Chan holds Doctor Of Philosophy - Phd, Computer Science from National University Of Singapore.

What skills is Yee Seng Chan known for?

Yee Seng Chan is listed with skills including Python, Research And Development, Machine Learning, Transformer, Large Language Models, Deep Learning, Natural Language Processing, and Information Extraction.

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