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Christopher H Szeto

from Walnut, CA
Age ~37
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Also known as:
Christopher Szeto
Related to:
Lechao Huang, 43Hua Li, 44Li HuangBo Li, 42
Connected to:
Aaron Szeto, 26Angeline Szeto, 65Bill K Szeto, 45Dennis Szeto, 40Derek Szeto, 30Don J Szeto, 49Eddie K Szeto, 39Ella S Szeto, 66Fion Szeto, 58Henry C Szeto, 43

Christopher Szeto Phones & Addresses

  • Walnut, CA
  • Santa Monica, CA
  • Apex, NC
  • 1525 N 17Th St APT 1, Philadelphia, PA 19121
  • Swarthmore, PA
  • Chapel Hill, NC
  • Houston, TX
  • Metairie, LA

Resumes

Resumes

Christopher Szeto Photo 1

Membership Services Specialist

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Location:
Charlottesville, VA
Industry:
Financial Services
Work:
Cfa Institute
Client Services Representative
Cfa Institute
Membership Services Specialist
Bulletproof 360 Mar 2015 - Feb 2016
Assistant Manager and Black Hat Hacker
Telnyx Oct 2014 - Feb 2015
Office Operations Coordinator
Whole Foods Market Jun 2013 - Feb 2015
Prepared Foods Front-Of-House, Cashier
Education:
Swarthmore College 2005 - 2009
Bachelors, Bachelor of Arts, Chinese Language and Literature, Chinese Language, Literature
Skills:
Research
Public Speaking
Teaching
Microsoft Office
Sales
Powerpoint
Customer Service
Qualitative Research
Spanish
Data Analysis
Management
Microsoft Excel
Event Planning
Fitness
Nutrition
Chinese
Communication
Diagramming
Visio
Software Design
Database Development
Databases
Office 365
Spreadsheets
Decision Making
Leadership
Life Skills
Personal Development
Advertising
Teamwork
Time Management
Entrepreneurship
Business Strategy
Enterprise Marketing
Small Business Marketing
Interests:
Health
Languages:
English
Spanish
Mandarin
Cantonese
Certifications:
Tefl
Investment Foundations Certificate
Visio Tips and Tricks
Programming Foundations: Databases (2015)
Excel 2019 Essential Training
Problem Solving Techniques
Leading Yourself
Creative Thinking
Improving Your Focus
Jeff Dyer on Innovation
The Science of Sales
Time Management Fundamentals
Christopher Szeto Photo 2

Christopher Szeto

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Christopher Szeto Photo 3

Christopher Szeto

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Christopher Szeto

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Christopher Szeto Photo 5

Christopher Szeto

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Christopher Szeto

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Location:
United States

Publications

Us Patents

Machine Methods To Determine Neoepitope Payload Toxicity

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US Patent:
20220403413, Dec 22, 2022
Filed:
Jul 24, 2020
Appl. No.:
17/633876
Inventors:
- Culver City CA, US
Jeremi Sudol - Culver City CA, US
Charles Vaske - Culver City CA, US
Stephen Charles Benz - Santa Cruz CA, US
Connie Tsai - Culver City CA, US
Kayvan Niazi - Culver City CA, US
Christopher W. Szeto - Culver City CA, US
Assignee:
Nantomics, LLC - Culver City CA
NantBio, Inc. - Culver City CA
International Classification:
C12N 15/86
Abstract:
Systems and methods are presented that allow for determination and prediction of payload toxicity in therapeutic viruses. Disclosed herein are methods of determining payload toxicity of an expressed polypeptide in a cell, comprising: generating or procuring a plurality of expression vectors, each containing a different recombinant nucleic acid sequence that encodes a corresponding recombinant polypeptide; expressing the recombinant nucleic acid sequence in a plurality of host cells while culturing the host cells; sequencing the plurality of expression vectors after culturing the host cells; and correlating at least portions of the recombinant nucleic acid sequence with a toxicity measure.

Deep Learning Models For Region-Of-Interest Determination

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US Patent:
20220375602, Nov 24, 2022
Filed:
Jul 21, 2021
Appl. No.:
17/381675
Inventors:
- Culver City CA, US
Christopher W. SZETO - Culver City CA, US
Stephen Charles BENZ - Culver City CA, US
Shahrooz RABIZADEH - Culver City CA, US
International Classification:
G16H 50/20
G06T 7/11
G06N 3/08
G06T 7/00
Abstract:
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.

Genomic-Driven Targeted Therapies

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US Patent:
20220290250, Sep 15, 2022
Filed:
Jul 23, 2020
Appl. No.:
17/635616
Inventors:
- Culver City CA, US
Christopher W. Szeto - Culver City CA, US
Assignee:
Nantomics LLC - Culver City CA
International Classification:
C12Q 1/6886
A61P 35/00
G16B 20/20
Abstract:
The present disclosure provides methods and systems of identifying a tumor patient for treatment with a combination of targeted therapy and immune oncology based on differential checkpoint expression patterns, and their association with mutation status, irrespective of the tumor tissue type. Also provided herein are methods of treatment for a tumor with a combination of targeted therapy and immune-oncology (IO) therapy.

Subtyping Of Tnbc And Methods

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US Patent:
20200294622, Sep 17, 2020
Filed:
Dec 3, 2018
Appl. No.:
16/765462
Inventors:
- Culver City CA, US
Christopher W. Szeto - Culver City CA, US
International Classification:
G16B 25/10
G16B 20/00
G16B 40/30
G16B 40/20
G16H 10/40
G16H 70/60
G16H 20/10
Abstract:
TBNC expression data are analyzed and subtyped into four distinct groups by expression level. Recursive feature elimination allowed for identification of about 80 genes that defined four clusters. So obtained cluster information can be used to associate the clusters with specific drug sensitivity, survival time, and other relevant parameters.
Control profile
Christopher H Szeto from Walnut, CA, age ~37 Get Report