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Kristian Lum
Sr Staff Machine Learning Researcher at Twitter
Professional Background
Kristian Lum is a prominent figure in the field of responsible machine learning, currently serving as a Senior Staff Machine Learning Researcher at Twitter. With an impressive career that spans academia and industry, Kristian has made significant contributions to the development of statistical methods and practices that prioritize ethical considerations in machine learning. Her experience as a statistician reflects her commitment to using data science responsibly and effectively.
Before joining Twitter, Kristian held several notable positions that allowed her to hone her expertise and leadership in statistical research. She was an Assistant Research Professor at the University of Pennsylvania, where she engaged in cutting-edge research and mentoring of students in computer science. Her background also includes an impactful role as a Data Scientist at Datapad, where she was instrumental in leveraging data to inform and improve decision-making processes. Prior to that, she worked as a statistician at the Human Rights Data Analysis Group (Hrdag), focusing on applying statistical methods to human rights data, thereby contributing to social justice initiatives.
Kristian’s involvement in significant research initiatives extends to her time as an Affiliate at the Center for Peace Studies and Violence Prevention at Virginia Tech. Here, she collaborated on research aimed at understanding and mitigating violence through the application of statistical techniques. This blend of technical expertise and a passion for social responsibility underscores her professional endeavors.
Her illustrious career is backed by a solid academic foundation, having served in various academic capacities, including her previous role at Virginia Tech, where she combined teaching with impactful research.
Education and Achievements
Kristian’s academic journey began with a Bachelor of Arts in Mathematics and Statistics from Rice University, where she developed a strong quantitative background. Her passion for numbers and data analysis led her to pursue higher education at Duke University, where she obtained her Doctor of Philosophy (Ph.D.). Throughout her education, Kristian cultivated critical thinking and analytical skills that have propelled her career forward.
While at Duke, Kristian engaged in various research activities that laid the groundwork for her future endeavors in machine learning and statistics. Her education has been a cornerstone of her professional success, enabling her to tackle complex problems and contribute to discussions around ethics in artificial intelligence.
Kristian's achievements in the machine learning community are notable, as evidenced by her role as an Original (OG) member of the Fairness, Accountability, and Transparency in Machine Learning Conference (FAccT Conference). This initiative aims to elevate discussions on fairness and ethical considerations in computational social science, aligning with Kristian’s commitment to responsible research practices.
Key Accomplishments
Kristian Lum's career is marked by a series of significant accomplishments that underscore her expertise in responsible machine learning and statistics. As a Senior Staff Machine Learning Researcher at Twitter, she is at the forefront of developing and implementing machine learning algorithms that prioritize ethical considerations. Her work not only advances the capabilities of machine learning technology but also reflects her dedication to social responsibility in the tech industry.
In addition to her role at Twitter, Kristian's contributions to academia have been profound. Her work as an Assistant Research Professor at the University of Pennsylvania included mentoring future leaders in the field and contributing to groundbreaking research. Her dedication to teaching and guiding students marks her as a committed educator and a leader in her field.
Beyond her professional positions, Kristian has taken an active role in various organizations focused on promoting ethical practices in machine learning. Her attendance and participation in FAccT Conference serve as a testament to her leadership in advocating for research accountability and fairness.
Kristian Lum’s journey through education and her impactful professional roles make her a well-respected figure in the realms of mathematics, statistics, and responsible machine learning. Her work continues to inspire others in the field to pursue ethical data practices and contribute positively to society, making her a key player in shaping the future of technology with integrity and responsibility.
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Clay works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
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Yes, Clay offers extensive integration capabilities. Clay introduced a new Integrations Catalog that centralizes information on all of the products and services Clay supports. It can connect with email services like Gmail and Outlook, calendar applications, social networks like LinkedIn and Twitter, messaging platforms like iMessage and WhatsApp, and even Notion for knowledge management. Clay also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
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Clay is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Clay stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Clay excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
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Clay offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Clay is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Clay's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Clay has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Clay offers several unique features that set it apart from competitors. Clay focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Clay also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Clay offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
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