Eni Halilaj profile photo

Eni Halilaj

Associate Professor, Mechanical Engineering

  • Pittsburgh PA UNITED STATES

Eni Halilaj seeks to understand and optimize human movement mechanics.

Contact

Biography

Eni Halilaj directs the CMU Musculoskeletal Biomechanics Lab, an interdisciplinary group of engineers seeking to understand and optimize human movement mechanics. Prior to joining Carnegie Mellon in 2018, she was a Distinguished Postdoctoral Fellow at Stanford University and completed her graduate and undergraduate studies at Brown University. She is the recipient of the NSF CAREER Award, American Society of Biomechanics Early Career Achievement Award, NIH K12 Career Development Scholarship, George Tallman Ladd Research Award, and College of Engineering Dean’s Early Career Faculty Fellowship.

Areas of Expertise

Musculoskeletal Biomechanics
Wearable Sensing
Artificial Intelligence
Computer Vision
Medical Imaging

Media Appearances

Understanding the biomechanics, neuroscience of athletes in the FIFA World Cup

TribLive  online

2026-06-20

Eni Halilaj is an engineering professor at CMU who specializes in biomechanics of movement. She works on wearable sensors to study how athletes move.
[...]
“They’re asking more of their bodies,” Halilaj said. “In elite athletes, injuries happen even in peak conditions because they’re operating near the limits of human performance.”
Less common, but more detrimental, are tears to the ACL, a knee ligament.
“It can be career-ending for some people,” she said. “What we’re trying to do in research is better understand and tailor recovery so athletes can return to sport as safely as possible.”

View More

Tesla’s Optimus and the big questions in the quest to make a humanoid robo

CNBC  online

2022-09-30

“Our body is a complex engineering system that we still do not fully understand,” Halilaj said. “We have a long way to go to reverse engineer it, making motion planning and control challenging for humanoid robotics. For example, we still do not understand how our central nervous system selects specific muscle coordination patterns to carry out daily tasks — this is one of the grand challenges in biomechanics and neural control.”

View More

Precision rehabilitation may prevent osteoarthritis

MedicalXpress  online

2022-01-28

Using flexible wearable sensors that look like Band-Aids, we monitor movement outside of the lab, where patients are not on their best behavior and may be adopting pain avoidance walking strategies that damage their joints in the long run," said Halilaj.
[....]
"In a not-too-distant future, we envision clinicians using data from these minimal wearables sensors and smartphone videos to isolate the 60 percent of patients who are likely to suffer from debilitating osteoarthritis, personalize their therapy accordingly, and even prescribe a wearable haptic device that helps them correct their gait before it is too late," concluded Halilaj.

View More

Spotlight

4 min

Professional sports have always embraced innovation, but today's competitive advantage increasingly comes from science. Researchers are applying advances in neuroscience, artificial intelligence, biomechanics, data analytics, and human performance to better understand how athletes make decisions, respond under pressure, recover from injury, and maximize performance. What once relied heavily on intuition and experience is now being informed by sophisticated research that can measure, predict, and improve outcomes at every level of competition. Recent studies from Carnegie Mellon University highlight the growing role science is playing across the sports landscape. Whether examining decision-making in high-pressure situations, analyzing performance strategies, or using artificial intelligence to improve health outcomes, researchers are uncovering insights that can help athletes perform at their best while extending careers and reducing injury risk. Ron Yurko is an Assistant Teaching Professor in the Department of Statistics & Data Science at Carnegie Mellon University, and the Director of the Carnegie Mellon Sports Analytics Center (CMSAC).  View his profile Scott Powers, an assistant professor at Rice University with vast front-office experience in Major League Baseball—including stints with the Los Angeles Dodgers and the Houston Astros—joined forces with Ron Yurko, a director at the Carnegie Mellon Sports Analytics Center, to analyze this cutting-edge data. Their study, published in The American Statistician in 2026, marks a significant advancement in the quantitative understanding of batting dynamics. It uses high-resolution measurements of bat speed and swing length, metrics that were publicly released for the first time in 2024, to explore how hitters modulate their swings under different pitch counts, particularly when facing two strikes. Eric Yttri is an Associate Professor at Carnegie Mellon University where his research goal is to establish how neural circuits lead to these action selection decisions.  View his profile As a neuroscientist, I have been working to uncover how the brain decides when to act and when to wait. Recent research from my team and me helps explain why this split-second pause happens, offering insight not only into elite athletic performance, but also how people make everyday decisions when the potential outcome isn't clear. We found that the key to hesitation is a response to uncertainty. This could be where a dropped hockey puck will land, when a race starts, or placing your order at a new restaurant. Eni Halilaj is an Associate Professor at Carnegie Mellon University where she directs the CMU Musculoskeletal Biomechanics Lab, an interdisciplinary group of engineers seeking to understand and optimize human movement mechanics. View her profile According to Eni Halilaj, an assistant professor in mechanical engineering at Carnegie Mellon University and biomechanist who specializes in orthopedic rehabilitation, 60 percent of those who suffer this common knee injury also develop osteoarthritis early in life. The degenerative joint disease, which affects an estimated 32.5 million individuals in the U.S., is especially problematic for younger patients because of the longer time span during which the chronic condition can cause debilitating pain, stiffness and limited mobility. "How can we make the 60 percent have the same long-term outcome as the 40 percent?" asked Halilaj, who is working to understand the difference between those who do and those who do not develop osteoarthritis following knee trauma. Matthew Walker is a Professor, Astrophysics & Cosmology at Carnegie Mellon University. His research focuses on the astrophysical properties of dark matter, but he is also a former collegiate D1 baseball player and lifelong, passionate fan staying apprised of advancements in the game. View his profile Carnegie Mellon University physics professor Matthew Walker said the system still has limitations, especially on pitches that are extremely close to the edge of the strike zone. "Every measurement device has a margin of error," Walker said. "ABS is, from what I can tell, somewhere around half an inch -which means if the ABS call says that the pitch was within half an inch of the border between a ball and a strike, whether it says it’s a ball or a strike is really no better than a guess." Walker said that in those situations, the umpire’s original call should remain in place rather than letting the automated system make the final decision. The influence of science in sports extends far beyond professional athletics. Research developed for elite competitors often finds applications in healthcare, rehabilitation, education, workplace performance, and everyday decision-making. As teams continue to invest in analytics, wearable technology, artificial intelligence, and performance science, the relationship between research and sports is expected to grow even stronger. The result is a deeper understanding of how humans learn, adapt, compete, and perform under pressure. If you're covering or looking to know more, we can help! Carnegie Mellon University experts can discuss: The growing role of science and technology in sports Performance optimization and decision-making under pressure Artificial intelligence and data analytics in athletics Injury prevention, rehabilitation, and athlete health The future of sports research and innovation

Eni HalilajEric YttriRon Yurko

Media

Education

Stanford University

Postdoctoral

Bioengineering

Brown University

Ph.D.

Biomedical Engineering

Brown University

B.A.

Engineering

Articles

Musculoskeletal Motion Imitation for Learning Personalized Exoskeleton Control Policy in Impaired Gait

arXiv

2026

Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimization procedures, which limit accessibility to clinical populations. To address this challenge, we introduce a device-agnostic framework that combines physiologically plausible musculoskeletal simulation with reinforcement learning to enable scalable personalized exoskeleton assistance for both able-bodied and clinical populations.

View more

Freddie Fu Panther Symposium Expert Group 2024: Rehabilitation and return to sport after anterior cruciate ligament reconstruction Part 1: Early and intermediate phases of rehabilitation

Journal of Arthroscopic Surgery and Sports Medicine

2025

Strategies for optimal rehabilitation after anterior cruciate ligament (ACL) reconstruction (ACLR) continue to evolve, as the incidence of contralateral ACL injuries and ACL failures varies widely in the literature, highlighting the need for optimising rehabilitation protocols. Early and intermediate rehabilitation build the crucial foundation on which later stages of rehabilitation can successfully be based, ideally leading to satisfactory outcomes and return to preinjury sports performance.

View more