Articles by Nancy
Activity
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Today, I'm excited to share the work we're doing with Anthropic to bring autonomy to cybersecurity. Claude models power the core reasoning layer…
Today, I'm excited to share the work we're doing with Anthropic to bring autonomy to cybersecurity. Claude models power the core reasoning layer…
Liked by Nancy Wang
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Had a great time chatting about the future of cybersecurity at the Artemis and Native breakfast event last week!
Had a great time chatting about the future of cybersecurity at the Artemis and Native breakfast event last week!
Liked by Nancy Wang
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Congratulations to the Felicis portfolio companies recognized on the Wing Venture Capital on the 2026 Enterprise Tech 30 👏 This list includes the…
Congratulations to the Felicis portfolio companies recognized on the Wing Venture Capital on the 2026 Enterprise Tech 30 👏 This list includes the…
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Experience & Education
Volunteer Experience
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Founder & Board Chair
Advancing Women in Tech (AWIT)
- Present 9 years 8 months
Education
I founded Advancing Women in Tech (AWIT), a global 501(c) non-profit organization with the purpose of accelerating more women and underrepresented groups into leadership roles in technology. Today, we are an international organization with over 35,000 members and one of the only non-profit partners of Coursera to have achieved college accreditation for our online courses in Product Management, Cloud Product Management, and Engineering Management.
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Member of the Board of Advisors, Board of Technology Innovation and Entrepreneurship (BoTIE)
University of Pennsylvania Engineering
- Present 1 year 1 month
Education
The Technological Innovation and Entrepreneurship Board ensures that the School’s research and educational programs are reflective of real-world scenarios, its students and faculty are networked with technologists, entrepreneurs and investors, and that students will have opportunities for starting new ventures after they graduate.
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Member of the Board of Advisors, Penn Engineering Online
University of Pennsylvania Engineering
- 2 years 11 months
Education
I advise the Dean of the Penn Engineering School and its Online Engineering Education department on issues related to finances (P&L), new curriculum development, and student outcomes.
As part of the Board, I established the Executives in Residence program for the Penn School of Engineering. https://online.seas.upenn.edu/about/executives-in-residence/
Patents
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Data backup and disaster recovery between environments
Issued US 11074143
A data management and storage (DMS) cluster of peer DMS nodes manages data backup and disaster recovery using a service level agreement. The backup data can be replicated from a primary compute infrastructure to the secondary compute infrastructure. For example, primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. If the primary compute infrastructure is lost, the secondary compute…
A data management and storage (DMS) cluster of peer DMS nodes manages data backup and disaster recovery using a service level agreement. The backup data can be replicated from a primary compute infrastructure to the secondary compute infrastructure. For example, primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. If the primary compute infrastructure is lost, the secondary compute infrastructure is initialized to replicate the primary compute infrastructure. Applications that were running in the primary compute infrastructure can failover to run in the secondary compute infrastructure. The replicated backup data is used to facilitate the migration. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines.
Other inventorsSee patent -
Automated review of source code for style issues
Issued US 10769046
In one aspect, a computer system automatically identifies style issues in a source code base. A reference set for a known style issue includes source code examples that exhibit the style issue. The source code examples in the reference set are compared to the source code base, for example using string convolution. Based on the comparison, locations in the source code base that are likely to exhibit the style issue are identified. Various steps in the processing may be implemented using machine…
In one aspect, a computer system automatically identifies style issues in a source code base. A reference set for a known style issue includes source code examples that exhibit the style issue. The source code examples in the reference set are compared to the source code base, for example using string convolution. Based on the comparison, locations in the source code base that are likely to exhibit the style issue are identified. Various steps in the processing may be implemented using machine learning models, clustering or other automated data science techniques.
Other inventorsSee patent -
Application migration between environments
Issued US 10,503,612
A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are…
A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines. Secondary snapshots of the virtual machines are generated, where the secondary snapshots are incremental snapshots of the primary snapshots. In failback, the secondary snapshots are provided to the primary compute infrastructure, where they are combined with the primary snapshots into construct a current state of the application, and the application is deployed in the current state by deploying virtual machines on the primary compute infrastructure.
Other inventorsSee patent -
Incremental Replication of Data Backup Copies
Filed US 20200019424
An example method of managing and storing data includes pulling and saving a first snapshot of a first state of a target machine running on a cloud service and creating a first virtual machine (VM) package associated with the first snapshot. The first VM package sufficient to instantiate a VM emulating the target machine with the first state on an on-premise destination VM platform. The method includes pulling and saving a second snapshot of a second state of the target machine, wherein the…
An example method of managing and storing data includes pulling and saving a first snapshot of a first state of a target machine running on a cloud service and creating a first virtual machine (VM) package associated with the first snapshot. The first VM package sufficient to instantiate a VM emulating the target machine with the first state on an on-premise destination VM platform. The method includes pulling and saving a second snapshot of a second state of the target machine, wherein the second state occurs after the first state. A second VM package is created and associated with the second snapshot, the second VM package sufficient to instantiate the VM emulating the target machine with the second state on the destination VM platform. The second VM package is created by updating the first VM package according to differences between the first snapshot and the second snapshot.
Other inventorsSee patent -
Application Backup and Management
Filed US 20190391880
See patentA data management and storage (DMS) cluster of peer DMS nodes manages data of an application distributed across a set of machines of a compute infrastructure. A DMS node associates a set of machines with the application, and generates data fetch jobs for the set of machines for execution by multiple peer DMS nodes. The DMS node determining whether each of the data fetch jobs for the set of machines is ready for execution by the peer DMS nodes. In response to determining that each of the data…
A data management and storage (DMS) cluster of peer DMS nodes manages data of an application distributed across a set of machines of a compute infrastructure. A DMS node associates a set of machines with the application, and generates data fetch jobs for the set of machines for execution by multiple peer DMS nodes. The DMS node determining whether each of the data fetch jobs for the set of machines is ready for execution by the peer DMS nodes. In response to determining that each of the data fetch jobs is ready for execution, the peer DMS nodes execute the data fetch jobs to generate snapshots of the set of machines. The snapshots may be full or incremental snapshots, and collectively form a snapshot of the application.
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Fileset Passthrough Using Data Management and Storage Node
Filed US 20200104216
A data management and storage (DMS) cluster of peer DMS nodes manages data of a compute infrastructure by generating snapshots of partitions of a fileset of the compute infrastructure and providing a passthrough for storing the snapshots in a data storage separate from the DMS cluster, such as a cloud computing system. In one approach, the DMS nodes determine partitions of a fileset using fileset metadata, generates snapshots of the partititons, and stores the snapshots in the data storage…
A data management and storage (DMS) cluster of peer DMS nodes manages data of a compute infrastructure by generating snapshots of partitions of a fileset of the compute infrastructure and providing a passthrough for storing the snapshots in a data storage separate from the DMS cluster, such as a cloud computing system. In one approach, the DMS nodes determine partitions of a fileset using fileset metadata, generates snapshots of the partititons, and stores the snapshots in the data storage. Each DMS node may include a local storage which is used to facilitate creation of a snapshot of a partition. The snapshot may be removed from the local storage after being sent to the data storage. Rather than storing the snapshot, the DMS cluster stores fileset metadata that is referenced to retrieve the snapshot from the data storage. The snapshot is deployed to retrieve a file stored in the partition.
Other inventorsSee patent
Languages
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English
Native or bilingual proficiency
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Chinese
Native or bilingual proficiency
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German
Professional working proficiency
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Japanese
Elementary proficiency
Organizations
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Commvault (NASDAQ: CVLT)
Member, Technical Advisory Board
- PresentI advise the C-suite and Board of Directors of Commvault on emerging security trends and cyber threats as well as highlight best practices in cyber resilience, all of which can play a key role in shaping product development, defining partnership opportunities, and guiding business strategies.
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Wharton Women Entrepreneurship Council
Board Member
- PresentCouncil established by the Wharton School of Business to create the inaugural incubator focused on women founders. Partnering with top VCs in the Silicon Valley and NYC.
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Penn Club of Northern California
yPenn Panelist, Alumni Interviewer
- PresentPromoting Penn alumni engagement in the SF Bay Area, as well as interviewing high school students in the Bay Area for admission
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University of Pennsylvania Alumni Club of Metro Washington, DC
Co-Vice President
-Promoting alumni engagement and mentorship of undergraduate students in the DC Metro area
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Everybody’s screaming “MCP is dead, long live CLI” like it’s 2025 again… Meanwhile the guy who literally started the anti-MCP religion has been…
Everybody’s screaming “MCP is dead, long live CLI” like it’s 2025 again… Meanwhile the guy who literally started the anti-MCP religion has been…
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Andrew Becherer representing at Decibel Partners 🥇
Andrew Becherer representing at Decibel Partners 🥇
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AWS quietly added natural language querying to S3 Storage Lens back in December. You can now ask your S3 observability data questions directly via…
AWS quietly added natural language querying to S3 Storage Lens back in December. You can now ask your S3 observability data questions directly via…
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We're entering a new era of enterprise software. AI agents can now reason, act, and learn, and every company is exploring how to bring them into…
We're entering a new era of enterprise software. AI agents can now reason, act, and learn, and every company is exploring how to bring them into…
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