

Karl Ni


Karl Ni is a lecturer in the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley. He is also a senior manager and head of computer vision at Etsy.
Ni has always taken an interest in being an educator, and Khoury College’s reputation for inclusion and experiential learning aligns with his core values. Now teaching “Data Mining,” Ni finds it rewarding to facilitate promising, high-potential career paths for graduate students.
In industry, Ni has found that mining data at scale is foundational to informing business decisions, mitigating risk, identifying areas for improvement, and providing value to customers. With the advancement of modern computational processing, this data-based pattern analysis has become essential for business seeking to solve real-time, real-world problems.
Now at Etsy, Ni manages machine learning practitioners and cross-functional stakeholders to apply recommendation sciences to e-commerce. His teams leverage large-scale analytics, data science, and machine learning to connect buyers to over 150 million seller listings on Etsy’s mobile and desktop surfaces. Ni has also held leadership and research positions at Google, In-Q-Tel, and Lawrence Livermore National Laboratory.
Karl Ni is a lecturer in the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley. He is also a senior manager and head of computer vision at Etsy.
Ni has always taken an interest in being an educator, and Khoury College’s reputation for inclusion and experiential learning aligns with his core values. Now teaching “Data Mining,” Ni finds it rewarding to facilitate promising, high-potential career paths for graduate students.
In industry, Ni has found that mining data at scale is foundational to informing business decisions, mitigating risk, identifying areas for improvement, and providing value to customers. With the advancement of modern computational processing, this data-based pattern analysis has become essential for business seeking to solve real-time, real-world problems.
Now at Etsy, Ni manages machine learning practitioners and cross-functional stakeholders to apply recommendation sciences to e-commerce. His teams leverage large-scale analytics, data science, and machine learning to connect buyers to over 150 million seller listings on Etsy’s mobile and desktop surfaces. Ni has also held leadership and research positions at Google, In-Q-Tel, and Lawrence Livermore National Laboratory.