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Noah Keahi Asing Email & Phone Number

Data Scientist, Extraction and Analytics at Stanford Law School
Location: San Francisco Bay Area, United States, United States 8 work roles 3 schools
1 work email found @uci.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

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Work email n****@uci.edu
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Current company
Role
Data Scientist, Extraction and Analytics
Location
San Francisco Bay Area, United States, United States
Company size

Who is Noah Keahi Asing? Overview

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Quick answer

Noah Keahi Asing is listed as Data Scientist, Extraction and Analytics at Stanford Law School, a company with 9 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at uci.edu and a matched LinkedIn profile for Noah Keahi Asing.

Noah Keahi Asing previously worked as Generative AI Specialist at Stackcare and Associate Statistical Scientist at Freenome. Noah Keahi Asing holds Master Of Engineering - Meng, Bioengineering And Biomedical Engineering from University Of California, Berkeley.

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Email format at Stanford Law School

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{first_initial}{last}@uci.edu
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Profile bio

About Noah Keahi Asing

Noah Keahi Asing is a Data Scientist, Extraction and Analytics at Stanford Law School.

Current workplace

Noah Keahi Asing's current company

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Stanford Law School
Stanford Law School
Data Scientist, Extraction and Analytics
California, United States
Website
Employees
9
AeroLeads page
8 roles

Noah Keahi Asing work experience

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

Generative Ai Specialist

Current

Palo Alto, California, United States

  • Pioneered generative AI solutions to derive actionable wellness insights from sensor data and patient profiles. Established end-to-end pipelines encompassing data preprocessing, prompt engineering, and model.
  • Conducted comprehensive cost analyses for generative AI implementations, comparing API pricing and identifying strategies to optimize spending at scale. Developed compression techniques and instruction chaining methods.
  • Implemented instruction chaining to ensure reliable and explainable AI outputs. Developed methodologies for compression of response tokens in sequential tasks, significantly cutting costs while retaining necessary.
Jun 2024 - Present

Associate Statistical Scientist

  • Programming portable, extensible tooling for interfacing with cloud storage systems (GCS, AWS S3).
  • Ensuring representative sampling with SQL scripts and dynamic weighting across 110M+ patients.
  • Constructing DAG workflows for feature engineering RWD (ETL) in adaptive, hierarchical batches.
  • Building distributed risk modeling software for KubeRay (GKE) and Databricks implementations.
Jul 2022 - Sep 2023

Ml Engineer, M.Eng. Capstone

Berkeley, California, United States

  • Merging supervised and unsupervised ML models to score user behavior and tag insider threats.
  • Comparing anomaly detection performance between traditional ML, tree-based and DL models.
  • Validating and comparing oversampling techniques for imbalanced time-series data.
Sep 2021 - May 2022

Haun Lab For Nanoeng. And Molec. Med. - Data Generation And Analytics

Irvine, California, United States

  • Trained 2 Ph.D. students and 3 undergraduates in C/C++, Bash, and Python
  • Extended C++ simulator to include spherical NP detachments under dynamic conditions.
  • Wrote Python simulator for non-spherical NP Brownian motion.
  • Crafted internal tools for HPC scheduler (SGE, Slurm) parameter entry and recording run metadata.
Mar 2020 - Aug 2021

Post-Stroke Spatial Neglect Assessment - Lead Data Engineer

Irvine, California, United States

  • Tasked with inventing a brain-computer interface for assessing spatial neglect severity
  • Comparing DSP and dimensionality reduction techniques on collected time-series EEG data.
  • Used classifiers to identify ERPs and reconstructed patient field-of-awareness through interpolation.
Aug 2020 - Jun 2021

Head Lifeguard

Palo Alto, California

  • Managing facility and leading lifeguard staff
  • Interacting with 150+ patrons each day
  • Training 8 Junior Lifeguards for the city's Junior Lifeguard program
  • Tracking attendance/hours of 60+ staff members
May 2017 - Aug 2017
3 education records

Noah Keahi Asing education

Master Of Engineering - Meng, Bioengineering And Biomedical Engineering

Concentration in Bioinformatics & Computational Biology Fung Institute TECH+ Certificate in Engineering Data Science

Bachelor Of Science - Bs, Bioengineering And Biomedical Engineering, Cum Laude

Activities and Societies: Campuswide Honors Collegium, Tau Beta Pi (TBP) Honor Society (CA T), Alpha Eta Mu Beta (AEMB) Biomedical.

Education record

Palo Alto High School
FAQ

Frequently asked questions about Noah Keahi Asing

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

What company does Noah Keahi Asing work for?

Noah Keahi Asing works for Stanford Law School.

What is Noah Keahi Asing's role at Stanford Law School?

Noah Keahi Asing is listed as Data Scientist, Extraction and Analytics at Stanford Law School.

What is Noah Keahi Asing's email address?

AeroLeads has found 1 work email signal at @uci.edu for Noah Keahi Asing at Stanford Law School.

Where is Noah Keahi Asing based?

Noah Keahi Asing is based in San Francisco Bay Area, United States, United States while working with Stanford Law School.

What companies has Noah Keahi Asing worked for?

Noah Keahi Asing has worked for Stanford Law School, Stackcare, Freenome, Crowdstrike, and Uc Irvine.

Who are Noah Keahi Asing's colleagues at Stanford Law School?

Noah Keahi Asing's colleagues at Stanford Law School include Pedraam Behroozi and Alex Wu.

How can I contact Noah Keahi Asing?

You can use AeroLeads to view verified contact signals for Noah Keahi Asing at Stanford Law School, including work email, phone, and LinkedIn data when available.

What schools did Noah Keahi Asing attend?

Noah Keahi Asing holds Master Of Engineering - Meng, Bioengineering And Biomedical Engineering from University Of California, Berkeley.

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