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Ahna Reza Girshick

from Berkeley, CA
Age ~49

Ahna Girshick Phones & Addresses

  • 899 Arlington Ave, Berkeley, CA 94707
  • 1672 Oxford St, Berkeley, CA 94709
  • 1841 Addison St, Berkeley, CA 94703
  • San Francisco, CA
  • New York, NY
  • 2638 Irving Ave, Minneapolis, MN 55408
  • Oakland, CA

Work

Company: Snibbe studio Jan 2011 Address: San Francisco, CA Position: Producer

Education

Degree: PhD School / High School: University of California, Berkeley 2001 to 2007 Specialities: Vision Science

Skills

Machine Learning • Computer Vision • Statistics • Data Analysis • Image Processing • Research • Neuroscience • Python • Matlab • Data Visualization • Science • Perception • Computer Graphics • Mathematical Modeling • Data Science • Psychophysics • Sql • R • Product Management • Experimentation • User Interface Design • User Experience • Experimental Design • Bayesian Statistics • Business Growth Strategies • User Research • Mobile Applications • Deep Learning • Product Development • Spark

Languages

English • French • Spanish • Mandarin

Industries

Research

Resumes

Resumes

Ahna Girshick Photo 1

Manager, Computational Genomics Research

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Location:
899 Arlington Ave, Berkeley, CA 94707
Industry:
Research
Work:
Snibbe Studio - San Francisco, CA since Jan 2011
Producer

UC Berkeley Electrical Engineering & Computer Science Dept Feb 2011 - Aug 2012
Postdoctoral Research Fellow

New York University, Psychology Dept Nov 2007 - Feb 2011
Postdoctoral research scientist

UC Berkeley, Vision Science Program 2001 - 2007
PhD student

Nissan Cambridge Basic Research 1999 - 2001
Research Assistant
Education:
University of California, Berkeley 2001 - 2007
PhD, Vision Science
University of Minnesota-Twin Cities 1996 - 1999
MS, Computer Science
University of Minnesota-Twin Cities 1993 - 1996
BS, Computer Science
Skills:
Machine Learning
Computer Vision
Statistics
Data Analysis
Image Processing
Research
Neuroscience
Python
Matlab
Data Visualization
Science
Perception
Computer Graphics
Mathematical Modeling
Data Science
Psychophysics
Sql
R
Product Management
Experimentation
User Interface Design
User Experience
Experimental Design
Bayesian Statistics
Business Growth Strategies
User Research
Mobile Applications
Deep Learning
Product Development
Spark
Languages:
English
French
Spanish
Mandarin

Publications

Us Patents

Phenotype Trait Prediction With Threshold Polygenic Risk Score

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US Patent:
20200118647, Apr 16, 2020
Filed:
Oct 10, 2019
Appl. No.:
16/598988
Inventors:
- Lehi UT, US
Julie M. Granka - San Francisco CA, US
Thi Hong Luong Nguyen - San Bruno CA, US
Ahna R. Girshick - Berkeley CA, US
Hamutal Arbel - San Francisco CA, US
International Classification:
G16B 40/00
G16B 20/20
G16B 30/00
G06N 20/10
C12Q 1/6827
Abstract:
A system and method predicts a phenotypic trait for an individual. The system identifies a subset of SNP loci with predictive ability of the phenotypic trait. The system calculates a PRS for the individual based on the individual's genetic dataset at the identified subset of SNP loci. The system compares the PRS to a threshold PRS. The threshold PRS is determined by calculating, for each training individual of a plurality of training individuals including some reported to have and some reported to not have the phenotypic trait, a PRS, sweeping through a domain of PRS while calculating a true positive rate and a false positive rate, and then identifying an optimal threshold PRS as the threshold PRS. The system generates a prediction whether the individual has the phenotypic trait based on the comparison.

Characterizing Heterogeneity With Fine-Scale Population Structure

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US Patent:
20190034587, Jan 31, 2019
Filed:
Oct 3, 2018
Appl. No.:
16/151111
Inventors:
- Lehi UT, US
Ahna R. Girshick - Berkeley CA, US
Ross E. Curtis - Cedar Hills UT, US
Benjamin Wilson - San Francisco CA, US
David A. Turissini - San Francisco CA, US
International Classification:
G06F 19/24
G06F 19/12
Abstract:
Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities. Ethnicity heterogeneity and age information may be tabulated and provided based on community membership information.
Ahna Reza Girshick from Berkeley, CA, age ~49 Get Report