State Street
Grc Business Intelligence Analyst
Tufts Health Plan Aug 2017 - Oct 2017
Claim Analyst
Carnegie Mellon University - Heinz College of Information Systems and Public Policy Aug 2015 - Jan 2017
Mism Projects
A.t. Kearney Sep 2016 - Dec 2016
Consultant
Cmu Academic Projects Aug 2015 - Dec 2016
Mism Student
Education:
Carnegie Mellon University - Heinz College of Information Systems and Public Policy 2015 - 2016
Masters, Management
University of Massachusetts Boston 2011 - 2014
Bachelors, Management
Goethe University 2013 - 2013
Skills:
Microsoft Excel Critical Thinking Databases Visual Basic Communication Office 365 Systems Analysis Spss Sas Microsoft Sql Server Tableau Postgresql Sql*Plus Java R Sas E Miner Mongodb Redis Canssandra Sql Html Hadoop Python Rdms Ssis Ssas Statistics Data Analysis
Cubist Pharmaceuticals
Senior Business Analyst and Program Manager
Sanofi Genzyme Nov 2006 - May 2012
Senior Data Manager
Depuy Biologics Johnson & Johnson 2004 - 2006
Clinical Data Associate
Parexel Jan 2003 - Sep 2004
Clinical Data Manager
Integral Development Corp. 2002 - 2002
Associate
Education:
Boston College 2006 - 2008
Master of Business Administration, Masters, Management
Tufts University 1996 - 2000
Bachelors, Bachelor of Science, Biology
Boston Latin School 1991 - 1996
Skills:
Clinical Trials Clinical Research Biotechnology Clinical Data Management Pharmaceutical Industry Medical Devices Data Management Strategy Project Management Molecular Biology Biochemistry Research
- San Jose CA, US Peter Nahas - Watertown MA, US Xing Li - Burlington MA, US Suji Suresh - Westford MA, US Daniel R. Perkins - Boston MA, US Peter Smith - Acton MA, US
International Classification:
H04L 45/02 H04L 9/40 H04L 47/70
Abstract:
Systems and methods include receiving network communication information about hosts in a network and applications executed on the hosts; automatically generating one or more microsegments in the network based on analysis of the obtained network communication information, wherein each microsegment of the one or more microsegments is a grouping of resources including the hosts and the applications executed on the hosts that have rules for network communication; and providing the one or more microsegments to one or more hosts of the hosts, for use by the one or more hosts to allow or block communications locally based on the one or more microsegments. Each of the one or more microsegments can be a grouping of workloads inside a data center.
Adeno Associated Virus Vectors For The Treatment Of Hunter Disease
The present disclosure provides, among other things, a recombinant adeno-associated virus (rAAV) vector comprising an AAV8 or AAV9 capsid and a codon-optimized sequence encoding a human iduronate-2-sulfatase (I2S) enzyme. The disclosure also provides a method of treating a subject having Hunter syndrome (MPS II), comprising administering to the subject in need thereof a recombinant adeno-associated virus (rAAV) vector comprising an AAV8 or AAV9 capsid, and a promoter operably linked to a nucleic acid sequence that encodes iduronate-2-sulfatase (I2S), and wherein administering results in an increase in I2S enzymatic activity in the subject.
Auto Re-Segmentation To Assign New Applications In A Microsegmented Network
- San Jose CA, US Peter Nahas - Watertown MA, US Xing Li - Burlington MA, US Suji Suresh - Westford MA, US Daniel R. Perkins - Boston MA, US Peter Smith - Acton MA, US
International Classification:
H04L 12/751 H04L 12/911 H04L 29/06
Abstract:
Systems and methods include, subsequent to performing auto segmentation on a network that includes a set of policies of allowable and block communications, observing communication between a plurality of hosts on the network; determining unassigned communication paths based on the observing that are either blocked because of a lack of a policy of the set of policies or because there is no policy of the set of policies for coverage thereof; and assigning the unassigned communication paths to corresponding policies of the set of policies. The assigning can be based on heuristics. The assigning can be performed without reperforming auto segmentation.
Oilfield management includes obtaining a binary variable array describing configurable elements of an oilfield design, partitioning the binary variable array into subgroups, and applying a transformation function to each subgroup to obtain an integer variable for each subgroup. An optimization problem is solved on the binary variable array by treating the integer variable as a continuous variable to obtain a solution, and the transformation function of each subgroup is applied to the solution to obtain a design pattern. Based on the design pattern, the oilfield design is generated.