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Aibing Rao

from Burlingame, CA
Age ~52

Aibing Rao Phones & Addresses

  • 1944 Garden Dr, Burlingame, CA 94010 (650) 259-0425
  • San Mateo, CA
  • Millbrae, CA
  • Buffalo, NY
  • South San Francisco, CA

Work

Company: Genomic health Jan 2012 to Aug 2013 Address: Redwood City, CA Position: Sr. analytical data manager

Education

Degree: PHD School / High School: State University of New York at Buffalo 1994 to 2001 Specialities: Computer Science

Skills

Data Mining • Machine Learning • R • Algorithms • Python • Matlab • SAS • Java • SQL • Drug Discovery • Modeling • Cell • Perl • Data Analysis • Bioinformatics • Analysis • Linux • Statistics • Software Development • Databases

Industries

Capital Markets

Resumes

Resumes

Aibing Rao Photo 1

Sr. Analytical Data Manager At Genomic Health

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Position:
Sr. Analytical Data Manager at Genomic Health
Location:
San Francisco Bay Area
Industry:
Capital Markets
Work:
Genomic Health - Redwood City, CA since Jan 2012
Sr. Analytical Data Manager

Thomson Reuters - San Froncisco, CA Jun 2010 - Jun 2011
Quantitative Research Contractor

Cytokinetics - South San Francisco Mar 2001 - Dec 2008
Senior Algorithm Developer

Center of Excellence for Document Analysis and Recognition (CEDAR), SUNY at Buffalo 1998 - 2001
Research Assistant

Mathematics Department, SUNY at Buffalo Aug 1994 - Jul 1998
Graduate Assistant
Education:
State University of New York at Buffalo 1994 - 2001
PHD, Computer Science
Nankai University 1991 - 1994
Master of Science, Mathematics
Jilin University 1987 - 1991
Bachelor of Science, Applied Mathematics
Skills:
Data Mining
Machine Learning
R
Algorithms
Python
Matlab
SAS
Java
SQL
Drug Discovery
Modeling
Cell
Perl
Data Analysis
Bioinformatics
Analysis
Linux
Statistics
Software Development
Databases

Publications

Us Patents

Predicting Hepatotoxicity Using Cell Based Assays

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US Patent:
7817840, Oct 19, 2010
Filed:
Mar 13, 2006
Appl. No.:
11/375541
Inventors:
Larry C. Mattheakis - Cupertino CA,
Jay Kenneth Trautman - Los Altos CA,
Gregg Peter Solar - San Anselmo CA,
Jinhong Fan - San Mateo CA,
Eugeni Vaisberg - Foster City CA,
Cynthia Lynn Adams - San Carlos CA,
Aibing Rao - Burlingame CA,
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G06K 9/00
G06K 9/36
G01N 1/30
C12Q 1/44
US Classification:
382133, 435 405, 435 19
Abstract:
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e. g. , apoptosis, necrosis, cholestasis, and/or steatosis.

Methods And Apparatus For Characterising Cells And Treatments

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US Patent:
20050009032, Jan 13, 2005
Filed:
Jul 7, 2003
Appl. No.:
10/615116
Inventors:
Daniel Coleman - San Mateo CA,
Ge Cong - El Cerrito CA,
Aibing Rao - Burlingame CA,
Eugeni Vaisberg - Foster City CA,
International Classification:
C12Q001/68
G06K009/00
US Classification:
435006000, 382128000
Abstract:
Methods, data processing apparatus and computer program products for characterising cells and the affect of treatments administered to cells are disclosed. In particular methods of identifying bi-nuclear cells are described which include capturing an image of a plurality of marked cells and processing image to obtain features of the plurality of cells. The features are analyzed to determine whether the feature is indicative of bi-nuclear cells. Those cells for which the first feature is indicative of bi-nuclear cells are identified as being bi-nuclear. Three algorithms in particular are described. A first algorithm can be used to determine the number of nuclei in an image of a nuclear component by determining the number of concave regions within the outline of the image. A second algorithm uses a measure of the amount of cytoplasmic material between a pair of nuclei to identify bi-nuclear cells. A third algorithm uses the statistics of the spatial distribution of objects to identify isolated pairs of nuclei which can be considered to be from the same cell.

Predicting Hepatotoxicity Using Cell Based Assays

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US Patent:
20050014216, Jan 20, 2005
Filed:
Jul 18, 2003
Appl. No.:
10/623486
Inventors:
Larry Mattheakis - Cupertino CA,
Jay Trautman - Los Altos CA,
Gregg Solar - San Anselmo CA,
Jinhong Fan - San Mateo CA,
Eugeni Vaisberg - Foster City CA,
Cynthia Adams - San Carlos CA,
Aibing Rao - Burlingame CA,
International Classification:
G01N001/30
G01N033/48
US Classification:
435040500
Abstract:
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e.g., apoptosis, necrosis, cholestasis, and/or steatosis.

Predicting Hepatotoxicity Using Cell Based Assays

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US Patent:
20050014217, Jan 20, 2005
Filed:
Nov 20, 2003
Appl. No.:
10/719988
Inventors:
Larry Mattheakis - Cupertino CA,
Jay Trautman - Los Altos CA,
Gregg Solar - San Anselmo CA,
Jinhong Fan - San Mateo CA,
Eugeni Vaisberg - Foster City CA,
Cynthia Adams - San Carlos CA,
Aibing Rao - Burlingame CA,
International Classification:
G01N001/30
G01N033/48
US Classification:
435040500
Abstract:
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e.g., apoptosis, necrosis, cholestasis, and/or steatosis.

Method Of Characterizing Cell Shape

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US Patent:
20050273271, Dec 8, 2005
Filed:
Apr 1, 2005
Appl. No.:
11/098020
Inventors:
Aibing Rao - Burlingame CA,
David Roof - San Carlos CA,
Mary Maxon - San Francisco CA,
Eugeni Vaisberg - Foster City CA,
International Classification:
G06F019/00
G01N033/48
G01N033/50
C12Q001/04
US Classification:
702019000, 435034000
Abstract:
An image analysis method characterizes cells based on the elongation. It analyzes an image of the cells and automatically identifies points or locations of high contrast (i.e., regions where the transition from intense signal to weak signal occurs abruptly, over a short distance). Groups of contiguous high contrast points collectively define a putative cell edge. Identified edges are then analyzed to determine whether they are elongated. In one example, edges with relatively low curvature are deemed elongated. The curvature analysis may be accomplished by calculating a shape descriptor for each edge (e.g., calculating the circular variance for each edge). One or more stages of the analysis may employ some degree of filtering, smoothing or other processing to remove certain artifacts in the image.

Predicting Hepatotoxicity Using Cell Based Assays

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US Patent:
20060228695, Oct 12, 2006
Filed:
Mar 13, 2006
Appl. No.:
11/375597
Inventors:
Larry Mattheakis - Cupertino CA,
Jay Trautman - Los Altos CA,
Gregg Solar - San Anselmo CA,
Jinhong Fan - San Mateo CA,
Eugeni Vaisberg - Foster City CA,
Cynthia Adams - San Carlos CA,
Aibing Rao - Burlingame CA,
International Classification:
C12Q 1/00
G06F 19/00
US Classification:
435004000, 702019000
Abstract:
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e.g., apoptosis, necrosis, cholestasis, and/or steatosis.

Domain Segmentation And Analysis

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US Patent:
20070202519, Aug 30, 2007
Filed:
Jan 9, 2007
Appl. No.:
11/651885
Inventors:
Aibing Rao - Burlingame CA,
Eugeni Vaisberg - Foster City CA,
International Classification:
C12Q 1/68
G06F 19/00
US Classification:
435006000, 702020000
Abstract:
Methods and apparatus, including computer program products, implementing and using techniques for analysis of images of cells and extraction of biologically significant features from the cell images, such as features located in cell boundary regions and cell-cell junctions. The extracted features may be correlated with particular conditions induced by biologically-active agents with which cells have been treated, thereby enabling the automated analysis of cells based on features that can be discovered in the cell boundary regions and cell-cell junctions of the images.

Granularity Analysis In Cellular Phenotypes

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US Patent:
20070206845, Sep 6, 2007
Filed:
Jan 9, 2007
Appl. No.:
11/651912
Inventors:
Aibing Rao - Burlingame CA,
Eugeni Vaisberg - Foster City CA,
International Classification:
G06K 9/00
US Classification:
382133000
Abstract:
Methods and apparatus, including computer program products, implementing and using techniques for analyzing images of cells and extraction of biologically significant features from the cell images, such as from granules representing intercellular organelles or other features in the images. In various embodiments, the extracted features can include the number of granules, the total surface area of the granules, the mean or maximum intensities of the granules, etc. These features can be determined on a cell-by cell basis, or for particular regions within a single cell, or for various groups of cells.
Aibing Rao from Burlingame, CA, age ~52 Get Report