The Explosive Growth of Faculty, Curriculum and Research Hints New Era for Computer Science at Yale

The Explosive Growth of Faculty, Curriculum and Research Hints New Era for Computer Science at Yale
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With many new courses, new faculty members, and a broad range of research areas, computer science (CS) at Yale is already the first to meet emerging challenges and meet the needs of students, on-campus interdisciplinary research and industry. is in much better condition. ,

The CS department has recently appointed nine tenure track faculty members and four teaching track lecturers to its ranks. These appointments are in addition to the first round of 11 new tenure track faculty members and two lecturers appointed over the years. Boosting hiring serves several long-term goals, including expanding a department’s areas of expertise. Also, as computer science has emerged as the second most popular major (right behind economics) at Yale, it will go a long way toward meeting the course requirements of students.

“Our new faculty members were selected for the excellence of their research as well as their fields, all of which are in high demand by both our students and faculty on campus as well as in industry,” said Zhong Shao. , Thomas L. Kempner Professor of Computer Science and Chair of the Department. “Their range of expertise addresses some of the most important challenges we face today.”

Jeffrey Brock, Dean of SEAS, said the new faculty will be critical to realizing the ambitious goals set out in SEAS’s strategic vision while building on key areas such as cyber security and distributed computing, particularly in the areas of artificial intelligence and robotics.

“This exciting group of new faculty stands to transform our CS department,” said Brock. “During our recruiting season, he sensed Yale’s momentum in CS and engineering, eventually turning down excellent offers at other top schools to join our faculty. His presence helped Yale CS to expand its course offering. Simultaneously will allow the establishment of critical mass core and state-of-the-art research areas.”

Many new faculty members, such as Fan Zhang, cited the department’s “rapid development in recent years”. Others said they were produced by the collaborative environment at Yale, especially noting that Yale is ranked at or near the top in many research areas. For example, Daniel Rakita said he looks forward to working with Yale Medical School to see how his lab’s robotics research can aid in hospital or home care settings, as well as brain-machine interfaces. Could work with Wu Tsai Institute on technologies.

“People I spoke to indicated that there are no boundaries between departments at Yale, and that interdisciplinary research is not only encouraged, but it is a ‘way of life,'” Rakita said. Many of the new faculty are already connected with leading academic leaders around campus, from medicine to economics, to quantum computing.

As part of this increase in recruitment, the department strategically targeted certain research areas, including artificial intelligence, reliable computing, robotics, quantum computing and modeling.

Nine new tenure-track faculty are hired, and their areas of research are below.

[We spoke to these new faculty members about their research, their motivations, potential collaborations, and much more. Click here to learn more about each of our latest faculty]

  • Armaan Kohan: Research at the intersection of machine learning and natural language processing
  • Ben Fish: Privacy and veracity on the Internet, with applications to blockchains such as bitcoin
  • Tesca Fitzgerald: Developing algorithms to adapt robots to task variations (such as novel tools, targets, or obstacles) that they have not been trained to address
  • Daniel Rakita: Developing algorithms that allow robot manipulators to move in real-world environments
  • Katerina Sotiraki: Cryptography and its development in anticipation of the quantum computer. In particular, it includes advancing cryptography against quantum attacks.
  • Alex Wong: Providing perception to enable autonomous functions
  • Rex Ying: Graph learning applications, including social network analysis, protein networks, and drug discovery
  • Manolis Zumpetakis: Foundations of Machine Learning (ML), statistics and data science, including statistical analysis from biased data
  • Fan Zhang: Computer security, with a focus on the science of blockchain

Four new teaching-track lecturers are hired, and their areas of research are:

  • Ozan Errat: computer vision
  • Dylan McKay: calculation principle
  • Sohi Park: multimedia, machine learning
  • Alan Weed: programming languages

This is the first since the change in the hiring season structure that has made SEAS more independent, providing more faculty lines for growth.

“Our independence and ability to be opportunistic were key elements in our ability to realize this transformative development of computer science at Yale,” Brock said. “Because CS plays such an important role in a wide range of disciplines, the size and breadth of CS is critical to our strategy for SEAS. I am thrilled to be able to take the first step in realizing that vision for the ocean . is well integrated within its host university and connected with its mission.”

SEAS became independent from the Faculty of Arts and Sciences in July 2022.

A curriculum to meet the needs of students and industry

Enhancing the department’s curriculum has also been in the planning stages for some time, a goal that has recently been attributed to the hiring of new faculty and lecturers. Shao said a concerted effort was made to meet the high demand for non-cores in areas such as artificial intelligence, blockchain, machine learning, introductory programming and CS courses.

“It’s been on the to-do list for the department for many years, but we didn’t have the manpower,” Shao said. “And finally, with new faculty, we can actually offer these courses.”

For example, Ben Fish will be teaching a new course on blockchain for both undergraduate students and advanced graduates in computer science. Tesca Fitzgerald will launch a new graduate level seminar on interactive robot learning. And Katerina Sotiraki will teach classes in theoretical and applied cryptography at both the undergraduate and graduate levels. These are some of the new courses that will be available.

Responding to industry needs, the department has focused on courses known as full stack web programming – that is, the coding behind building a complete web application along with the set of skills required to develop the interface. also includes. One of the department’s most popular courses on software engineering, will now be offered for both semesters of the year instead of one. Both, Shao said, are specifically aimed at the needs of industry and students.

“As new challenges emerge, computer science at Yale will continue to adapt,” Shao said. “We are excited about the future of our department, and these new additions to our faculty and our curriculum are going to be a major part of that.”