Medical School Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) Graduated: 1986
Description:
Dr. Liu graduated from the Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) in 1986. She works in Evanston, IL and specializes in Anatomic Pathology & Clinical Pathology. Dr. Liu is affiliated with Glenbrook Hospital, Highland Park Hospital, Northshore University Health System Evanston Hospital and Northshore University HealthSystem.
Name / Title
Company / Classification
Phones & Addresses
Dr. Lin Liu Owner
Eastern Healing Center Massage Therapists. Physical Therapists
2013 to 2000 Co-founder/Procurement DirectorSimulation Game
2013 to 2000 Co-manager/Senior ExecutiveWall Street Standard Group New York, NY Jun 2013 to Aug 2013 Administrative /Research AssistantIndustrial and Commercial Bank of China
Jun 2011 to Sep 2011 Finance InternCitibank
Aug 2011 to Aug 2011 Finance InternHefei University of Techonology
Jan 2009 to Jun 2009 Resident Assistant
Education:
Robert H. Smith School of Business, University of Maryland College Park, MD 2012 to 2013 Master of Science in Business(MSB) in Supply Chain ManagementHefei University of Technology 2008 to 2012 Bachelor of Economics in Public FinanceUniversity of Wisconsin-Eau Claire Eau Claire, WI 2009 to 2011 Bachelor of Business Administration (BBA) in Finance
Skills:
Microsoft Office,Operation Management, Supply Chain Management, Inventory Management, Administration,Customer Service, Teamwork, Research Skill, ERP,SAP,Bloomberg
2013 to 2000 Associate Content ManagerMedAsset Saddle River, NJ Jun 2012 to Aug 2012 Database EngineerWESTMED MEDICAL GROUP
Nov 2010 to Dec 2011 SQL Programmer AnalystEmerging Health IT, a subsidiary of Montefiore Medical Center Yonkers, NY Sep 2007 to Mar 2008 System Analyst (QA Engineer)Ingres Corporation Islandia, NY Apr 2006 to Jun 2007 Associate Software Engineer (Level II)Open Link Financial Uniondale, NY Nov 2005 to Apr 2006 Database Administrator, ContractGAC International Inc Bohemia, NY May 2005 to Sep 2005 Database Programmer
Education:
Polytechnic University Brooklyn, NY Jun 2003 M.S. in Computer ScienceUniversity of Science and Technology of China Jul 1998 Computer Application
John A. Bocharov - Seattle WA, US Geqiang (Sam) Zhang - Redmond WA, US Krishna Prakash Duggaraju - Renton WA, US Lin Liu - Sammamish WA, US Jimin Gao - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 11/00
US Classification:
714 411, 709217, 709231
Abstract:
A reliable streaming system increases reliability of live and on-demand streaming media events through a robust server architecture that allows fast failover and recovery in the event of network, hardware, or other failures. The system provides for failover of encoders, ingest servers, which receive encoded media data from encoders, and origin servers, which serve as the retrieval point of last resort for connecting clients. The system also provides a push proxy mechanism that allows one copy of data to feed redundant servers and pre-warm caches, saving on provisioned bandwidth. In addition, the system provides a distribution server role that allows content to be automatically syndicated to a region when needed. Thus, the reliable streaming system provides a streaming solution with no single point of failure and redundancy and fast failover built into the content network architecture.
Vishal Sood - Bothell WA, US Geqiang (Sam) Zhang - Redmond WA, US Lin Liu - Sammamish WA, US Krishna Prakash Duggaraju - Renton WA, US Sam J. George - Kenmore WA, US Jack E. Freelander - Monroe WA, US Anirban Roy - Kirkland WA, US John A. Bocharov - Seattle WA, US Jeffrey M. Wilcox - Seattle WA, US Raymond Cheng - Sammamish WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 3/01 G06F 15/16
US Classification:
715704, 715716
Abstract:
A streaming abstraction system is described herein that provides application developers a client software development kit (SDK) on top of which to build smooth streaming solutions. The system reduces development time considerably and abstracts platform specific intricacies and protocol handling on the client. In addition, the streaming abstraction system makes it possible to monetize streaming content with advanced features like advertising and analytics and provides advanced capabilities like multiple camera angles, diagnostics, and error handling. In some embodiments, the streaming abstraction system provides an intermediate layer that operates between an application and an underlying client media platform. The intermediate layer manages smooth streaming protocol handling as well as interactions with the platform-specific runtime.
Vishal Sood - Bothell WA, US Jack E. Freelander - Monroe WA, US Anirban Roy - Kirkland WA, US Lin Liu - Sammamish WA, US Geqiang (Sam) Zhang - Redmond WA, US Krishna Duggaraju - Renton WA, US Sudheer Sirivara - Redmond WA, US John A. Bocharov - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/16 G06F 15/177
US Classification:
709219, 709217, 709220, 709222
Abstract:
An adaptive streaming system is described herein that provides a stateless connection between the client and server for streaming media playback in which the data is formatted in a manner that allows the client to make decisions and react more quickly to changing network conditions. The client requests uniform chunks of media from the server that include a portion of the media. The adaptive streaming system requests portions of a media file or of a live streaming event in small-sized chunks each having a distinguished URL. This allows streaming media data to be cached by existing Internet cache infrastructure. Each chunk contains metadata information that describes the encoding of the chunk and media content for playback by the client. The server may provide chunks in multiple encodings so that the client can switch quickly to chunks of a different bit rate or playback speed.
Delivering Cacheable Streaming Media Presentations
John A. Bocharov - Seattle WA, US Geqiang (Sam) Zhang - Redmond WA, US Krishna Prakash Duggaraju - Renton WA, US Sudheer Sirivara - Redmond WA, US Lin Liu - Sammamish WA, US Anirban Roy - Kirkland WA, US Jimin Gao - Seattle WA, US Jack E. Freelander - Monroe WA, US Christopher G. Knowlton - Redmond WA, US Vishal Sood - Bothell WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 15/16 G06F 7/00
US Classification:
709231, 709248, 707E17009, 709203, 707E17032
Abstract:
A smooth streaming system provides a stateless protocol between a client and server in which the server embeds incremental control information in media fragments. The server provides uniform media fragment responses to media fragment requests that are cacheable by existing Internet cache infrastructure. The smooth streaming system receives media data in fragments from one or more encoders, creates an index of each fragment, and stores the fragments. The server provides fragments to clients that contain metadata information describing the encodings available on the server and the encoding of the fragment. The server may also provide information within each fragment that allows the client to determine whether the client is requesting data too fast or too slow, so that the client can adapt its request rate to a cadence in tune with the rate at which the server is receiving encoder data.
John A. Bocharov - Seattle WA, US Krishna Prakash Duggaraju - Renton WA, US Lin Liu - Sammamish WA, US Jack E. Freelander - Monroe WA, US Ning Lin - Redmond WA, US Anirban Roy - Kirkland WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04N 11/04 G06F 15/16
US Classification:
37524001, 709231, 375E07001
Abstract:
A low latency streaming system provides a stateless protocol between a client and server with reduced latency. The server embeds incremental information in media fragments that eliminates the usage of a typical control channel. In addition, the server provides uniform media fragment responses to media fragment requests, thereby allowing existing Internet cache infrastructure to cache streaming media data. Each fragment has a distinguished Uniform Resource Locator (URL) that allows the fragment to be identified and cached by both Internet cache servers and the client's browser cache. The system reduces latency using various techniques, such as sending fragments that contain less than a full group of pictures (GOP), encoding media without dependencies on subsequent frames, and by allowing clients to request subsequent frames with only information about previous frames.
John A. Bocharov - Seattle WA, US Geqiang (Sam) Zhang - Redmond WA, US Krishna Prakash Duggaraju - Renton WA, US Lin Liu - Sammamish WA, US Anirban Roy - Kirkland WA, US Jack E. Freelander - Monroe WA, US Vishal Sood - Bothell WA, US
International Classification:
H04N 7/025 H04N 7/173
US Classification:
725 32, 725 93, 725 92, 725109
Abstract:
A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.
Vishal Sood - Bothell WA, US Jack E. Freelander - Monroe WA, US Jason R. Suess - Seattle WA, US Lin Liu - Sammamish WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 3/01 G06F 15/16
US Classification:
715716, 709231
Abstract:
A streaming composition system is described herein that provides easy workflow and playback capabilities for content producers to create composite media assets from existing and on-going media content and for streaming clients to seamlessly playback composite multimedia streams provided from different sources. These assets provide broadcasters an option to quickly turn around highlights for an on-going event. The streaming composition system allows a producer to identify clips within existing media assets and compose the clips into a new unified streaming presentation. For producers that already have smooth streaming media assets, the system leverages these assets to provide seamless playback across clip boundaries including advanced playback support for advertisement insertion, fast forward, rewind, and so on.
- Cambridge MA, US Catherine O'RIORDAN - Bridgewater NJ, US Lin LIU - Bridgewater NJ, US Kate ZHANG - Bridgewater NJ, US
International Classification:
G01N 33/68 C12N 15/86 G01N 30/72
Abstract:
Provided herein are methods for determining the serotype of a virus particle and/or or determining the heterogeneity of a virus particle (e.g., an AAV particle). In other embodiments, the invention provides methods to determine the heterogeneity of AAV particles. In some aspects, the invention provides viral particles (e.g., rAAV particles) with improved stability and/or improved transduction efficiency by increasing the acetylation and/or deamidation of capsid proteins.
News
Mouse pups born from eggs derived from the granulosa cells that surround oocytes
"The thing about in vitro fertilization is that they only use the oocyte for the procedure," says senior author Lin Liu, of the College of Life Sciences at Nankai University. "After the egg retrieval, the granulosa cells in the follicle are discarded. It got us thinking, what if we can utilize these
Date: Dec 24, 2019
Category: Science
Source: Google
Researchers in China Transformed Mouse Granulosa Cells Into Egg Cells and Produced Healthy Offspring
Reference: Functional Oocytes Derived from Granulosa Cells by Chenglei Tian, Linlin Liu, Xiaoying Ye, Haifeng Fu, Xiaoyan Sheng, Lingling Wang, Huasong Wang, Dai Heng and Lin Liu, 24 December 2019, Cell Reports.DOI: 10.1016/j.celrep.2019.11.080