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Max Harper
Research Scientist at University of Minnesota
Max Harper is a distinguished research scientist committed to advancing the field of human-computer interaction and recommender systems through his innovative work at the GroupLens Research lab within the University of Minnesota's Department of Computer Science. With a robust academic background and extensive industry experience, Max is well-equipped to tackle the complexities of modern computer science challenges. His career has been marked by a dedication to exploring the intersections of technology and user experience, ultimately improving how individuals interact with digital systems.
Max's educational journey began at Carleton College, where he earned a Bachelor of Arts in International Relations. His diverse educational background provided a unique perspective on technology's impact on human behavior. He furthered his studies at the University of Minnesota, obtaining both a Master of Science and a Doctor of Philosophy in Computer Science. This rigorous academic training laid the groundwork for his future research endeavors and equipped him with the analytical tools necessary to excel in his field.
In addition to his work at GroupLens Research, Max has gained significant industry experience as a Senior Applied Scientist at Amazon, where he contributed to the development of cutting-edge technologies that enhance user experiences across numerous platforms. Prior to this role, he has held several research and technical positions, including serving as a Research Scientist at GroupLens Research and the University of Minnesota, and a Software Developer at Code42. His impressive career trajectory also includes stints as a Consulting Data Scientist at Theophilus, Inc., a Co-Founder at Blue Shift Lab, and a Postdoctoral Fellow at the University of Minnesota. Max began his research journey as a Research Intern at Nokia, where he honed his skills in the fast-paced world of technology and innovation.
Max's contributions to the field of computer science are noteworthy. He has published numerous papers and studies that have garnered attention for their insights into how human-computer interactions can be improved through sophisticated algorithms and user-centric designs. His work in recommender systems has been particularly influential, providing powerful tools that leverage big data to deliver personalized content to users effectively. Not only does Max Harper lead in research; he is also a community advocate. He actively participates in seminars, workshops, and conferences around the globe, sharing his knowledge and advocating for innovative practices in human-computer interaction.