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Xiaoji Chen

from San Carlos, CA
Age ~38
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Related to:
Wingyuk Cheh, 57Yuan Li, 53John Chen, 50Lynette M Hill, 67Shen Chen Yin, 40Angke Chen, 38Lei Chen, 34Shizhe Chen, 35Yichen Chen, 47Yiwei WangYi Chen
Connected to:
Adela Chen, 45Aidong Chen, 56Aile Chen, 40Aiqun Chen, 56Aishun Chen, 46Aiting Chen, 39Albertina L Chen, 78Alec C Chen, 61Allison Y Chen, 42Andrea H Chen, 40

Xiaoji Chen Phones & Addresses

  • San Carlos, CA
  • Seattle, WA
  • Newark, CA
  • San Mateo, CA

Resumes

Resumes

Xiaoji Chen Photo 1

Staff Clinical Scientist

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Location:
35213 Ramsgate Dr, Newark, CA 94560
Industry:
Biotechnology
Work:
Fred Hutchinson Cancer Research Center Sep 2008 - May 2013
Research Assistant
Omeros Corporation Jun 2009 - Aug 2009
Intern
State Key Laboratory of Biotherapy, Sichuan University Nov 2008 - Dec 2008
Student Researcher
UCSF Jun 2007 - Jun 2007
Student Researcher
University of Washington Sep 2006 - May 2007
Student Researcher
Education:
University of Washington 2008 - 2013
Doctor of Philosophy (Ph.D.), Molecular and Cellular Biology Sichuan University, China 2004 - 2008
B.S. in Biology, Biology University of Washington 2006 - 2007
Chengdu NO. 7 high school 2001 - 2004
Skills:
Crispr
Nextgen Sequencing
Cancer
Flow Cytometry
Cancer Immunotherapy
Assay Development
Shrna Screening
R
Biomarker Development
Nanostring
Ucsc Genome Browser
Xenograft
Immunoprecipitation
Chip Seq
Immunofluorescence
Western Blotting
Vector Nti
Pcr
Qpcr
Ingenuity Pathways Analysis
Facs
High Content Screening
Cell Line and Primary Cell Culture
Shrna/Sirna Mediated Gene Knockdown
Lentivirus and Retrovirus Production and Infection
Quantitative Real Time Pcr
Molecular Cloning
Limiting Dilution Assay In Nod/Scid Mice
Nucleofection
Colony Forming Unit Assay
Cfse Cell Division Assay
Cell Viability Assay
Molecular Biology
Cell
Biochemistry
Cell Biology
Languages:
English
Mandarin
Awards:
HHMI Molecular Medicine Scholarship, 2011
HHMI Molecular Medicine Scholarship, 2010
Small Nucleic Acid Pilot Study grant, 2010
Travel award to the the International Youth Summit Go 4 Biodiv, Germany, 2008
- One of the two participants from China
Outstanding Undergraduate Thesis Award, Sichuan University, 2008
Dean’s List, University of Washington, Spring 2007
Award for Academic Excellence, Sichuan University, 2005
Award for Academic Excellence, Sichuan University, 2004
Xiaoji Chen Photo 2

Senior Software Engineer

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Location:
18065 Mount Shay St, Fountain Valley, CA 92708
Industry:
Computer Software
Work:
Microsoft Interactive Entertainment Business - Redmond, WA since Apr 2013
User Experience Designer II
Microsoft Developer Division - Redmond, WA Aug 2011 - Mar 2013
User Experience Designer II
Senseable City Lab, Massachusetts Institute of Technology Sep 2009 - May 2011
Research Assistant
Microsoft Corporation Jun 2010 - Sep 2010
Intern - User Experience Designer
TeamMinus Studio Jul 2007 - Jun 2009
Assistant Architect
Education:
Massachusetts Institute of Technology 2009 - 2011
MS, Architecture Studies, Design and Computation Tsinghua University 2003 - 2009
BArch, MArch, Architecture, Design Theory
Skills:
Interaction Design
Data Visualization
Digital Fabrication
Parametric Design
Human Computer Interaction
User Centered Design
User Interface Design
User Experience Design
Design Thinking
Visual Web Developer
Software Prototyping
Industrial Design
3D Visualization
Web Development
Javascript
Interests:
Data Analysis
Interaction Design
Design and Computation
Data Visualization
User Experience
Digital Fabrication
Languages:
Mandarin
Xiaoji Chen Photo 3

Xiaoji Chen Fremont, CA

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Work:
Fred Hutchinson Cancer Research Center
Seattle, WA
Sep 2009 to May 2013
Research Assistant
Omeros Corporation
Seattle, WA
Jun 2009 to Aug 2009
Intern
Fred Hutchinson Cancer Research Center
Seattle, WA
Sep 2008 to Dec 2008
Research Assistant
University of Washington School of Medicine
Seattle, WA
Sep 2006 to May 2007
Lab Assistant
Sichuan University
Chengdu, CN
Apr 2005 to May 2006
Project Leader
Education:
University of Washington/Fred Hutchinson Cancer Research Center
Seattle, WA
Sep 2008 to May 2013
Ph.D. in Molecular and Cellular Biology
Wu Yuzhang Honors College, Sichuan University
Chengdu, CN
Sep 2004 to Jun 2008
B.S. in Biology
University of Washington School of Medicine
Seattle, WA
Sep 2006 to Jun 2007
Xiaoji Chen Photo 4

Xiaoji Chen Fremont, CA

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Work:
Fred Hutchinson Cancer Research Center
Seattle, WA
Sep 2009 to May 2013
Research Assistant
Omeros Corporation
Seattle, WA
Jun 2009 to Aug 2009
Intern
Fred Hutchinson Cancer Research Center
Seattle, WA
Sep 2008 to Dec 2008
Research Assistant
University of Washington School of Medicine
Seattle, WA
Sep 2006 to May 2007
Lab Assistant
Education:
University of Washington/Fred Hutchinson Cancer Research Center
Seattle, WA
2008 to 2013
Ph.D. in Molecular and Cellular Biology
Wu Yuzhang Honors College, Sichuan University
Chengdu, China
2004 to 2008
B.S. in Biology
University of Washington School of Medicine
Seattle, WA
2006 to 2007
Skills:
Cell Biology: Primary cell and cell line culture; multi-color flow cytometry; FACS and Miltenyi AutoMACS cell sorting; cell division/viability assays; lentivirus and retrovirus production and infection; mouse xenograft assay; colony-forming unit assay; plate reader; high-content screening Molecular Biology: Next-generation sequencing; chromatin immunoprecipitation; shRNA/siRNA-mediated gene knockdown; shRNA screening; microRNA array; high throughput library construction; quantitative real-time PCR; western blots; immunofluorescence; DNA and RNA isolation; molecular cloning Computational Biology: Ingenuity pathways analysis (certified analyst); FlowJo; Vector NTI; GenBank; ImageJ

Publications

Us Patents

Generating Customized Data Bound Visualizations

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US Patent:
20120159298, Jun 21, 2012
Filed:
Dec 20, 2010
Appl. No.:
12/972562
Inventors:
Danyel Fisher - Seattle WA, US
Steven Mark Drucker - Bellevue WA, US
Roland Fernandez - Woodinville WA, US
Vikram Bapat - Seattle WA, US
Robert Scott Silverstein - Seattle WA, US
Xiaoji Chen - Cambridge MA, US
Anson An-Chun Tsao - Redmond WA, US
Oscar Pawel Kozlowski - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/00
US Classification:
715215, 715212
Abstract:
Descried herein are various technologies to visualizing data in a spreadsheet application. Customized visualizations are generated by binding a user-defined equation with a parameter of a primitive visual shape that has been selected by the user to visualized a dataset. The user-defined equation takes as input a value of data in a cell of the spreadsheet application, and the primitive visual shape is displayed to the user as a function of the output of the user-defined equation.

Systems And Methods For Predicting And Monitoring Treatment Response From Cell-Free Nucleic Acids

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US Patent:
20220301654, Sep 22, 2022
Filed:
Aug 28, 2020
Appl. No.:
17/638904
Inventors:
- Menlo Park CA, US
Anton VALOUEV - Palo Alto CA, US
David BURKHARDT - San Francisco CA, US
Nathan HUNKAPILLER - Belmont CA, US
Eric FUNG - Los Altos CA, US
Xiaoji CHEN - Newark CA, US
Byoungsok JUNG - Atherton CA, US
International Classification:
G16B 20/20
G16B 40/20
C12Q 1/6886
G16H 10/40
G16H 50/20
G16H 20/10
Abstract:
Methods and systems for determining a subject's likelihood of responding to a treatment by assessing the subject's cell-free DNA (cfDNA) sample include receiving sequence data gathered from sequencing the cfDNA sample, generating a feature matrix of values that correspond to synonymous and nonsynonymous mutations detected in the sequence data, and predicting, based on analysis of the feature matrix at a TMB prediction model, a tumor mutational burden (TMB) for a tissue of interest at the subject. The predicted TMB is evaluated to determine whether a set of criteria indicating a likely response to treatment is met. The set of criteria can include criterion(s) that are met when the predicted TMB is high, when the predicted TMB corresponds to a predicted tumoral heterogeneity indicative of homogeneous tissue, when the predicted TMB corresponds to a tumor fraction indicative of a positive responder, or any combination thereof.

Correlated Display Of Biometric Identity, Feedback And User Interaction State

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US Patent:
20170083696, Mar 23, 2017
Filed:
Dec 2, 2016
Appl. No.:
15/368364
Inventors:
- Redmond WA, US
Emily M. Yang - Seattle WA, US
Joseph Wheeler - Sammamish WA, US
Sergio Paolantonio - Seattle WA, US
Xiaoji Chen - Seattle WA, US
Eric C. Sanderson - Redmond WA, US
Calvin Kent Carter - Seattle WA, US
Christian Klein - Duvall WA, US
Mark D. Schwesinger - Bellevue WA, US
Rita A. Yu - Redmond WA, US
International Classification:
G06F 21/32
G06K 9/00
Abstract:
Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.

Visualizing Large Graphs

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US Patent:
20150138203, May 21, 2015
Filed:
Nov 19, 2013
Appl. No.:
14/084466
Inventors:
- Redmond WA, US
Bongshin Lee - Issaquah WA, US
Nathalie Henry Riche - Seattle WA, US
Xiaoji Chen - Seattle WA, US
Alexander E. Holroyd - Bothell WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06T 11/20
US Classification:
345440
Abstract:
Large graph visualization embodiments are presented which generally render and display the more important elements for a current view. To this end, a measure of importance referred to as a zoom level is assigned to the vertices and rails of a graph. Each rail is a curve segment in the graph that represents an edge or a set of edges passing through it. The rendering and displaying of a graph (or a part thereof) is done quickly, even as a user moves about the graph, and the visualization of the large graph is not so dense and so full of detail that the user becomes disoriented. In general, this is accomplished by specifying a current viewport, or a current zoom level, or both. Furthermore, the visualization is stable in that the layout of vertices and rails will be the same for the same zoom level and viewport.

Correlated Display Of Biometric Identity, Feedback And User Interaction State

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US Patent:
20150135308, May 14, 2015
Filed:
May 16, 2014
Appl. No.:
14/279819
Inventors:
- Redmond WA, US
Emily M. Yang - Seattle WA, US
Joseph Wheeler - Sammamish WA, US
Sergio Paolantonio - Seattle WA, US
Xiaoji Chen - Seattle WA, US
Eric C. Sanderson - Redmond WA, US
Calvin Kent Carter - Seattle WA, US
Christian Klein - Duvall WA, US
Mark D. Schwesinger - Bellevue WA, US
Rita A. Yu - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 21/32
US Classification:
726 19
Abstract:
Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.

Self-Revealing Symbolic Gestures

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US Patent:
20150007117, Jan 1, 2015
Filed:
Jun 26, 2013
Appl. No.:
13/928372
Inventors:
- Redmond WA, US
Monty L. Hammontree - Duvall WA, US
Vikram Bapat - Seattle WA, US
Xiaoji Chen - Seattle WA, US
Emmanuel J. Athans - Lake Forest Park WA, US
Wilfredo Cruz - Kirkland WA, US
International Classification:
G06F 3/01
US Classification:
715863
Abstract:
A computing device implemented method includes recording, in response to an initial user activation event, a first path of a first portion of a direction-specific symbolic swipe gesture. In response to a pause in the direction-specific symbolic swipe gesture, a selected number of possible symbolic gestures are displayed based on the recorded first path that reveal system commands that map to the symbolic gestures. A second path of a second portion of the direction-specific symbolic swipe gesture is recorded. In response to the recorded first and second paths of the direction-specific symbolic swipe gesture and a trigger, a first system command is accessed that maps to the first direction-specific gesture.

Self-Disclosing Control Points

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US Patent:
20140146039, May 29, 2014
Filed:
Nov 29, 2012
Appl. No.:
13/689738
Inventors:
- Redmond WA, US
Monty Hammontree - Duvall WA, US
Xiaoji Chen - Seattle WA, US
Emmanuel Athans - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06T 15/00
US Classification:
345419
Abstract:
A smart object represents a 3D graphics object whose control points are disclosed to a user. The control points are displayed for a user to use in performing simple and complex transformations on the 3D graphics object. The control points are positioned in areas where transformations are more likely to be made by a user. A transformation may be an action along one or more axes of the object, such as, rotation, scaling, and translation. The user may utilize the control points to perform a series of transformations that create a particular 3D graphics object without requiring expertise in the 3D graphics modeling application.

Direct Manipulation User Interface For Smart Objects

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US Patent:
20140149944, May 29, 2014
Filed:
Nov 29, 2012
Appl. No.:
13/689739
Inventors:
- Redmond WA, US
Monty Hammontree - Duvall WA, US
Xiaoji Chen - Seattle WA, US
Emmuanuel Athans - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 3/0481
US Classification:
715849
Abstract:
A direct manipulation user interface provides a user with a means to interact with control points associated with smart objects to create and modify complex 3D graphic objects. The direct manipulation user interface includes a precision control mechanism that enables a user to specify precise measurements for a transformation through the user's interaction with a control point. The direct manipulation user interface also includes a history bar that enables a user to scroll back to a previous stage in the design process and to undo a sequence of transformations through the user's interaction with the history bar.
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Xiaoji Chen from San Carlos, CA, age ~38 Get Report