We love reading, writing, and publishing the latest machine learning research. But we’re even more passionate about putting theory into practice. We are naturally curious, love a challenge, and can’t help seeing opportunities for automation and machine learning everywhere. We are working to leave a tangible mark on the world.

Published Papers
Patents Granted
Books Authored
Ph. D.s

Founding Team

Lawrence Carin, Ph.D.

Chief Scientist

With over 350 published papers, Vice Provost for Research at Duke University and IEEE Fellow, Larry Carin is one of the true luminary minds in Machine Learning today. His passion for engineering was apparent from the time he was only a child – one of his first memories is of building a small engine to plug in the wall. Fortunately, his mother swooped in to stop this first experiment before anyone was electrocuted, but Larry has always been fascinated at the prospect of creating things that can have real tangible value.

Following this passion into applied mathematics, Larry studied electromagnetics and rose to the forefront of the field while still in his early 30s, but came to an important conclusion: electromagnetics had already accomplished all the meaningful innovation it would ever need. And so much to the confusion of his peers, Larry changed fields, exploring for an area where his work could have greater impact, and eventually landing in signal processing, statistics, and machine learning.

Many people questioned the decision to leave a field where he was so highly respected, but Larry is the type of person that not only sees the world as it could be but can’t help themselves in working to make that possibility real. Today Larry is respected as one of the greatest innovators in machine learning, and as part of his passion for making a difference through his work, he serves as co-founder and Chief Scientist of Infinia ML, solving some of the toughest machine learning challenges in the world.

Larry is passionate about his work and about his family, spending as much time with them as possible. He is proud to live in the Research Triangle and wants Infinia’s work to not only create value for clients, but to serve as inspiration for the kind of entrepreneurship and innovation that Durham can achieve.

Robbie Allen

Chief Executive

It’s a rare moment when a person’s experience aligns perfectly with an opportunity, but that’s exactly how Robbie Allen felt coming onboard as CEO of Infinia ML. Robbie was working on his Ph.D. in computer science and teaching at the University of North Carolina at Chapel Hill when he met Dr. Lawrence Carin, Infinia ML’s Chief Scientist, to discuss working together. Robbie understood the potential of machine learning – even if academic research stopped today, there would still be a ten-year backlog of ML implementations in the business world. With the caliber of talent Infinia ML had assembled, it was clear the company can reshape how businesses and industries operate today.

The perfect opportunity also requires the right individual to unlock its potential, and Robbie checked those critical boxes. Cutting his teeth at Cisco, he became a Distinguished Engineer before returning to school, earning two Master’s degrees at MIT. He went on to start his first AI company, Automated Insights, which was successfully acquired by Vista Equity Partners under his leadership.

During his tenure at Automated Insights, Robbie was a culture builder: Automated Insights was named Best Place to Work in Research Triangle Park for four years in a row during his tenure. But to Robbie, this is just common sense –a culture where people are happy and want to come to work helps the company be more successful.

In addition to his duties as CEO of Infinia ML, Robbie is an advisor for multiple startups and occasionally teaches at UNC’s Kenan-Flagler Business School. He’s a huge UNC sports fan, but his number one focus is training the next generation of coders and computer scientists – including his daughter and son. Robbie is also a prolific blogger, offering his insights into AI/ML and entrepreneurship.

Mike Salvino

Executive Chairman

Look what I get to do now!”, smiles Mike Salvino, former Group Chief Executive of Accenture Operations, sitting in Infinia ML’s Durham offices. The statement might seem odd given his previous experience managing a multi-billion-dollar business process outsourcing company with tens of thousands of employees, but only if you didn’t know Mike and didn’t share his vision.

Mike has built a long and impressive career scaling businesses, and he clearly saw the potential of machine learning to create new efficiencies and insights. An industrial engineer by training, Mike demonstrated his leadership at Exult, a pioneer in the outsourcing industry focused in HR. Mike served as President of the Americas and was instrumental in growing this game-changing business until it was acquired by Hewitt Associates. From there he joined Accenture where, in his final role as Group Chief Executive of Operations, Mike expanded the company’s revenue multiple years running and laid the groundwork for Accenture to leverage the value of AI and ML. Building on his past success, Mike set out to empower world-class machine learning experts to literally redefine what’s possible

Supporting the work of machine learning luminary Lawrence Carin and AI entrepreneur Robbie Allen, Mike sees Infinia ML’s potential to reshape the business landscape through machine learning solutions. As Chairman of the Board for Infinia ML and Managing Director at Carrick Capital Partners, Mike continues to put his business building skills to work, advising and guiding the company as it grows and scales.

Outside the office, Mike spends a lot of time with his family and their foundation, 5MPower which focuses on cancer research, people in need, youth sports, and education.

Ricardo Henao, Ph.D.

Data Scientist

A quiet man by nature, Ricardo Henao is one of the most respected figures in biomedical applications for machine learning. When he speaks, his passion and authority as a subject matter expert are clear. His constant work in and around healthcare professionals has given him an innate ability to translate and bridge the gap between clinical researchers and his machine learning colleagues.

Ricardo was fascinated with electronics since his childhood in Colombia, progressing to engineering, signal processing, and eventually machine learning. He earned a Master’s degree in industrial automation, and moved to Denmark to earn his Ph.D. in machine learning. As part of his studies at the Technical University of Denmark, he began partnering with a local biomedical center and brought that expertise to Duke University.

In addition to his work as a Data Scientist at Infinia ML, he serves as Assistant Professor in Biostatistics and Bioinformatics at Duke and is a member of the Duke Clinical Research Institute. He regularly serves as a reviewer for journals such as the Journal for Machine Learning Research, Journal of Biomedical Informatics and many others.

While he enjoys reading and is a bit of a movie buff, his passion is machine learning – in particular, helping health systems and researchers unlock the vast amounts of data they have to find new breakthroughs. He also enjoys the challenges biomedical machine learning brings – forcing the algorithms to work and succeed with far smaller sample sizes than other industries. He enjoys the academic life – staying on the cutting edge of the latest machine learning research in healthcare – but also relishes the opportunity to tackle the urgent business problems addressed by Infinia ML.

Ya Xue, Ph.D.

Data Scientist

Inherently curious by nature and a creator by passion, Ya spent her early years in a small town in Central China with her parents, who had received their degrees in engineering and medicine. This influenced the course that Ya would take for her own success.

After spending 17 years in her hometown, Ya decided to pursue studies in engineering at Tsinghua University in Beijing. Over the course of 5 exciting years learning and working as an undergraduate research assistant, Ya decided that it was time for even greater ventures.

This drive took her to the US, where she did a master in wireless communications and signal processing at Arizona State University. She went to Duke University for her Ph.D., with a focus on statistical modeling and machine learning. During her Ph.D. study Ya was involved in research collaborations between Duke and a major company, where she realized that real world applications were her true calling.

“I was always studying theory and could have stayed in the library for days writing equation after equation, but for the first time I was doing something directly useful to society,” she says. “That was really exciting.”

Ya spent the next several years putting that mindset into action with data analytic systems that can confirm proper drug prescriptions by analyzing the pill’s chemical spectrum, detect abnormal system behavior in aircraft engineer operations, recommend short video clips to online viewers of a TV channel, manage the power system on a hybrid bus, identify oil&gas opportunities in seismic data, and reconstruct 3D teeth models from facial images. Today, she lives in the Research Triangle, enjoying working with Infinia as well as raising her two young children.

Jun Liu, Ph.D.

Data Scientist

One of Infinia ML’s founding Data Scientists and holder of over 10 US patents in medical imaging and machine learning, Jun Liu has come a long way throughout the course of his career. Having spent his childhood in a small town in rural eastern China where even a car on the road was considered an unusual sight and a commute to his school meant a 5 AM walk before dawn, Jun has channeled his passion for science and math to redefine possible in machine learning.

After earning his PhD in computer science at Nanjing University of Aeronautics and Astronautics in China, he continued on to post-doctorate work in 2008 at Arizona State University, where he studied sparse learning and compressed sensing. This led to his creation of the SLEP package, a custom library for structured sparse learning.

At Siemens in Princeton, New Jersey, Jun’s work helped win the first FDA approval for compressed sensing-based MR reconstruction. The product reduces the amount of processing data needed during a scan, enabling shorter image acquisition time or increased resolution. By advancing the capabilities of image scanning technology, it contributes to many medical applications, such as the study and understanding of the human heartbeat.

Jun, who has over 50 papers and 3,500 citations to his name, most recently served as Principal Research Statistician Developer at SAS before he was introduced to Infinia ML. He is excited at the opportunity to be part of the founding team as Infinia ML works to reshape how business services, healthcare and security organizations operate through machine learning.

Jun continues to run often and finds inspiration from his two sons, who he encourages to live active and healthy lifestyles.

The Infinia ML Team

Board of Directors

Mike Salvino
Executive Chairman

A Managing Director at Carrick Capital Partners, Mike serves as Infinia ML’s Executive Chairman, guide, and number one supporter. As former Group Chief Executive of Accenture Operations, Mike brings Infinia ML his insight into business services as well as his expertise scaling and managing operations. Prior to Accenture, Mike served as President of the Americas Region for HRO pioneer Exult, later acquired by Hewitt. He earned his BS in Industrial Engineering from Marietta College. At home Mike’s focus is his family as well as their family foundation – 5MPower whose mission is giving back, with a focus on cancer research, people in need, youth sports and education.

Robbie Allen
Chief Executive

After successfully founding, growing, and selling his former company, Automated Insights, he was ready for the next opportunity. During his tenure as CEO, Automated Insights was named Best Place to Work in Research Triangle Park four years in a row, and Robbie brings this people-first approach to the Infinia ML team. Previously, Robbie was a Distinguished Engineer at Cisco. He earned his MS in Engineering and Management from MIT and is currently completing his Ph.D. in Computer Science at the University of North Carolina at Chapel Hill. Robbie owns six patents and has authored eight books. When he’s not working, inventing, or bragging about his UNC Tar Heels, he’s focused on his family – teaching the next generation of game changing developers – and occasionally sneaking in some time on his blog.

Lawrence Carin, Ph.D.
Chief Scientist

One of the most widely published machine learning researchers in the world, Lawrence has been a Professor of Electrical and Computer Engineering at Duke University for the past 22 years, and he has served as the Vice Provost for Research at Duke for over three years. Lawrence is an IEEE Fellow and has co-authored over 350 papers affecting fields as diverse as bomb detection, neuroscience, and voting behavior. Lawrence earned his BS, MS, and Ph.D. in electrical engineering from the University of Maryland. Outside of the office, Lawrence spends every possible minute with his family and works hard to keep his body as fit as his mind.

Marc McMorris

Marc McMorris is a Co-Founder and Managing Director of Carrick Capital Partners, and co-chairs the Investment Committee with Co-Founder Jim Madden. Marc is directly involved in the selection and growth guidance of successful companies in technology-enabled services including BPO, Transaction Processing, and Software as a Service (SaaS).

Marc enjoys working closely with the CEOs, executive teams, and boards of Carrick’s portfolio companies. Leveraging his deep understanding of sales, finance, capital structure, and governance matters, Marc plays a critical role in assisting these companies to navigate growth opportunities and create long-term value. In addition to Infinia ML, Marc serves on the boards of Complia Health, Infrascale, and Saama.

Mitchell Slodowitz

Mitchell Slodowitz is the Chief Financial Officer and a Managing Director at Carrick Capital Partners. He is directly involved with finance, administration, investor reporting, and assisting portfolio company CFOs. Additionally, Mitch is responsible for investment due diligence, deal structuring, and providing advice during the term of the investing period.

An experienced CFO with a sophisticated understanding of a wide range of financial issues, Mitch enjoys working closely with company CFOs in optimizing tax programs; structuring financing, lending and debt instruments; and securing training and state tax grants.


We are always looking for talented, curious, humble, and hardworking individuals to join us, especially data scientists and software engineers. Our diverse team shares a passion for applying cutting-edge academic research to the toughest business challenges.

If you’re ready to contribute and ready to learn, we want to hear from you!

Visit our careers page to see current opportunities →