“Karen is incredibly smart, competent and just a pleasure to work with. She really strives for excellence in everything she does. She outperformed all my expectations. I will be thrilled to work again with her in the future.”
About
I create products that make people's lives better -- at a scale of millions+. I'm an…
Activity
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Big exciting announcement: I’m excited to share that I’ve signed the agreement for Grammarly to acquire Coda! And I’m honored to lead the combined…
Big exciting announcement: I’m excited to share that I’ve signed the agreement for Grammarly to acquire Coda! And I’m honored to lead the combined…
Liked by Karen Ng
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What a year! 🎉 In 2024, we... ✅ made analytics easy ✅ expanded our platform ✅ worked with the best customers in the world ...and SO much more.…
What a year! 🎉 In 2024, we... ✅ made analytics easy ✅ expanded our platform ✅ worked with the best customers in the world ...and SO much more.…
Liked by Karen Ng
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Today we took talabat public on the Dubai Financial Market at a USD $10.1B valuation, marking it to be the largest global tech IPO of 2024. It has…
Today we took talabat public on the Dubai Financial Market at a USD $10.1B valuation, marking it to be the largest global tech IPO of 2024. It has…
Liked by Karen Ng
Experience
Education
Licenses & Certifications
Publications
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Embedded Empathy in Continuous, Interactive Health Assessment
CHI 2005
As an increasing number of new technologies are turning a strong focus on health assessment applications, new engineering and design challenges emerge. Challenges such as inference, modeling, data mining, and feedback for long-term usage arise. This paper argues that embedding empathy into the design of these interactive systems can potentially be vital in the acceptance and success of these types of technologies. This paper discusses three pieces of work that illustrate that designing systems…
As an increasing number of new technologies are turning a strong focus on health assessment applications, new engineering and design challenges emerge. Challenges such as inference, modeling, data mining, and feedback for long-term usage arise. This paper argues that embedding empathy into the design of these interactive systems can potentially be vital in the acceptance and success of these types of technologies. This paper discusses three pieces of work that illustrate that designing systems that are intentionally empathetic can play a significant role in creating a better user experience in human-computer interactions.
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Subtle Expressivity in a Robotic Computer
MIT Media Lab
A Robotic Computer, which moves its monitor "head" and "neck" but has no explicit face, is being designed to interact with users in a natural way for applications such as learning, rapport-building, interactive teaching, and posture improvement. In all these applications, the robot will need to move in subtle ways that express its state, and that promote appropriate movements in the user, but that don't distract or annoy. Toward this goal, we are giving the system the ability to recognize…
A Robotic Computer, which moves its monitor "head" and "neck" but has no explicit face, is being designed to interact with users in a natural way for applications such as learning, rapport-building, interactive teaching, and posture improvement. In all these applications, the robot will need to move in subtle ways that express its state, and that promote appropriate movements in the user, but that don't distract or annoy. Toward this goal, we are giving the system the ability to recognize subtle expressions as well as the ability to have them. This paper describes the design of this system, initial findings on the perceived qualities of its expressions, and planned future work aimed at measuring behavioral effects of its expressiveness.
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A Personal, Mobile System for Understanding Stress and Interruptions
MIT Thesis
A variety of legacy and emerging health applications are designed to monitor sensed information
about a person’s physiological signals over time. Such applications include systems for tracking
heart conditions that have been in use by cardiologists for decades to recent prototypes for
monitoring elders in cognitive decline. This thesis focuses on addressing the challenges inherent
in an interactive monitoring system – how and when to interact with a user. This research aims…A variety of legacy and emerging health applications are designed to monitor sensed information
about a person’s physiological signals over time. Such applications include systems for tracking
heart conditions that have been in use by cardiologists for decades to recent prototypes for
monitoring elders in cognitive decline. This thesis focuses on addressing the challenges inherent
in an interactive monitoring system – how and when to interact with a user. This research aims to
improve these systems in two main ways: 1) explore how to interact through social-emotional,
relational dialogue, and 2) explore when to interact by adjusting the timing of these interruptions.
An interactive, health application has been developed for data collection, annotation, and
feedback that is part of a longer-term research plan for gathering data to understand more about
stress, the physiological signals involved in its expression, and the interplay between stress and
interruptibility. The system has been developed on a mobile platform and uses affect and
interruption-sensitive strategies to engage users and allow for real-time annotation of stress,
activity and timing information through text and audio input. The platform supports continuous,
wireless, and non-intrusive collection of heart signal data, accelerometer, and pedometer
information, as well as automatic labeling of location information from context beacons. This
system is the first of its kind to be affect and interruption-responsive – to use physiological data
to adjust the timing of interruptions, as well as to adaptively respond with dialogue and relational
strategies that specifically address the user’s stress levels and the disruption the device may be
incurring upon the user.
Patents
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Social-based information recommendation system
Issued US WO 2014093793 A3
Techniques are described herein that are capable of recommending information that is contextually related to code using a social data graph. A machine learning technique is used to determine that the information is contextually related to the code. A social data graph is a graph database that stores information associated with users in a social networking environment. For instance, such information may be retrieved from user profiles, social updates, etc. of the users. A social networking…
Techniques are described herein that are capable of recommending information that is contextually related to code using a social data graph. A machine learning technique is used to determine that the information is contextually related to the code. A social data graph is a graph database that stores information associated with users in a social networking environment. For instance, such information may be retrieved from user profiles, social updates, etc. of the users. A social networking environment is an online service, platform, or domain (e.g., Web site) that facilitates the building of social networks (e.g., social relations) among people who share interests, activities, backgrounds, real-life connections, etc.
Other inventorsSee patent -
Creating inferred symbols from code usage
Issued US WO 2011084875 A3
When writing code, data structures that include inferred symbols are created based on usage of undefined symbols. As the user continues writing code, code model can be updated to represent updated information based on a learning model. Data structures including inferred symbols can be used by software development tools to provide developer help for symbols that are not yet created or are not yet bound. Inferred symbols can be visually distinguishable making the appearance of the inferred symbol…
When writing code, data structures that include inferred symbols are created based on usage of undefined symbols. As the user continues writing code, code model can be updated to represent updated information based on a learning model. Data structures including inferred symbols can be used by software development tools to provide developer help for symbols that are not yet created or are not yet bound. Inferred symbols can be visually distinguishable making the appearance of the inferred symbol information differ from actual symbol information. The appearance of information based on inferred symbols can be included within tools by activating a particular mode in a programming environment. Conversion of the inferred symbol to a real symbol may trigger the automatic compiler-generation of additional source code by a background compiler. Inferred symbols may be converted to actual symbols by activation of an option to make an inferred symbol a real symbol.
Other inventorsSee patent -
Efficient immutable syntax representation with incremental change
Issued US WO 2011084876 A3
Efficient immutable syntax representation with parent pointers under incremental change is enabled by creating a data structure comprising at least one tree structure that allows both upward and downward references in the tree and a tree structure that is immutable (read-only), and allows parts of itself to be re-used in other data structures. The data structure described enables tools to search and target particular sub trees. The fragment of the tree representing the targeted sub tree is…
Efficient immutable syntax representation with parent pointers under incremental change is enabled by creating a data structure comprising at least one tree structure that allows both upward and downward references in the tree and a tree structure that is immutable (read-only), and allows parts of itself to be re-used in other data structures. The data structure described enables tools to search and target particular sub trees. The fragment of the tree representing the targeted sub tree is produced as it is used. The rest of the tree is not produced. The read-only tree retains relative information, allowing it to be reassembled and shared.
Other inventorsSee patent
Honors & Awards
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Product 50 Winner: Best Digital Native Product Leader
Product 50
https://venturebeat.com/2022/05/19/meet-the-top-product-leaders-across-the-globe/
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Six months ago, we made a tough decision. We rejected the advice from the people that had supported us from the very beginning. We said no to…
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we did it fam :))) now the real work begins👷👷👷 Vincent Garrigues Caterina Kiehntopf
we did it fam :))) now the real work begins👷👷👷 Vincent Garrigues Caterina Kiehntopf
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This is the coolest use of AI for product adoption that I've seen in months. Automated customer onboarding + feature discovery. Customer asks how to…
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