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.

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.

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.

Prior to Infinia ML, Ya was a senior machine learning scientist for Align Technologies. Ya has worked for Siemens Medical Solution, GE Global Research, and two startups. She has worked on over 20 projects spanning a wide range of application domains, such as industrial-system monitoring, security surveillance, renewable energy, online recommendations, and treatment planning. She has coauthored 7 patents. Ya received BS, MS, and Ph.D. degrees in electrical engineering from Tsinghua University, Arizona State University, and Duke University respectively. The focus of her Ph.D. work was machine learning and statistical data modeling, and her publications have received 2500+ citations. Ya’s professional passion lies in putting theory into practice to create tangible results, but outside the office her attention is focused on her family and children.

David’s background includes 15 years of building and scaling web companies and engineering teams.

He served as both CTO and Chief Architect at email marketing company iContact, which grew from a technology team of one person (himself) to over 80 people under his leadership. He went on to launch the data science team at the musician platform ReverbNation. Most recently, he helped to reboot the technology teams at 3 Birds Marketing, which serves the auto industry.

David earned the M.S.E. degree in Computer Science from Johns Hopkins University. He lives by the motto: “everything’s a tradeoff, make it work.”

James is the former Head of Communications for Automated Insights, where he translated concepts of natural language generation for a global audience. He later started his own firm to help technology marketers tell customer stories.

As a professional content creator for over a decade, he’s worked with brands including YouTube, Politico, Business Insider, LinkedIn, and DHL. He’s spoken about customer storytelling from North Carolina to South Korea, and you can see his on-camera interviews with leading executives every year at the CES electronics trade show.

Josh Wyatt is the Chief Information Security Officer at Infinia ML.

Dana has a passion for building financial models that help businesses understand their current position, plan for the future, and achieve their goals. She brings over 10 years of financial management spanning both the public sector and private business.

Dana is a Chartered Global Management Accountant who gained her professional qualification in the United Kingdom. She recently relocated to the US from London and is excited to be working with such a new and innovative company.

Before joining Infinia ML, Mike worked with large institutions to tackle complex, sensitive enterprise data challenges at Palantir Technologies. He was also previously a Director at CEB (now Gartner) where he helped C-level executives at Fortune 500 firms solve critical business problems.

Mike brings additional experience at the international development company DAI and conducted independent research as a Fulbright Fellow in Amman, Jordan.

Outside of work you’ll find Mike cycling, fly fishing, and exploring the outdoors with his wife and dog.

Ricardo is a respected expert in machine learning. He serves as Assistant Professor in Biostatistics and Bioinformatics at Duke University and is a member of the Duke Clinical Research Institute. He also regularly serves as a reviewer for journals such as the Journal of Machine Learning Research, Journal of Biomedical Informatics, and many others. He has coauthored more than 50 academic papers in fields such as machine learning, biostatistics, neuroscience, cancer and infectious disease.

Prior to joining the Infinia ML founding team, Jun served as Principal Research Statistician Developer for SAS. Other experience includes time as a Research Scientist at Siemens Corporate Research, Postdoc/Research Scientist at Arizona State University, Associate Professor at Nanjing University of Aeronautics and Astronautics, and Principal Scientist at Didi Chuxing. Jun owns 50+ papers with 3000+ citations and 11 US patents for his work in medical imaging and machine learning including his work developing the SLEP package, a custom algorithm used for large scale structured sparse learning. He earned his Ph.D. in Computer Science at Nanjing University of Aeronautics and Astronautics in China. When not solving complex math problems, Jun likes running and spending time with his two young sons, one of whom wants to be a mathematician, just like his Dad.

Before joining Infinia ML, Patrick served as a Principal at the startup Signal Innovations Group (acquired by BAE Systems), where he led research and development projects for defense and intelligence applications of statistical signal processing and machine learning. Patrick earned the M.S. degree in Applied Mathemetics and Scientific Computation from the University of Maryland. He enjoys hiking with his wife and dog and is an avid curler (yes, with the stones and the brooms).

Prior to joining Infinia ML, Ikenna worked as a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University, Durham, NC, where his research focused on computational imaging and machine learning. He led a multi-university team of researchers on the software and algorithm design and development arm of the Department of Homeland Security sponsored coded aperture x-ray imaging (CAXI) project. He also led a team of machine learning scientists on a few business-related projects relevant to a Fortune 500 company.

Ikenna received the B.S. degree in physics and mathematics from Illinois Wesleyan University, Bloomington, and the M.S. and Ph.D. degrees in electrical engineering from Washington University in Saint Louis, St. Louis, MO. His doctoral work focused on the recognition of humans based on their pulse and the identification of dangerous materials in bags using coherent scatter imagery.

Outside of work, Ikenna enjoys playing soccer, cooking, and spending time with his family.

Sunith graduated with an MS in Statistical Science from Duke University where he focused on building Bayesian models and statistical machine learning. Previously, he worked in the investment sector for five years. He has had the good fortune of being on the front lines of both business and technology. In his free time, he enjoys weightlifting, hiking, cooking and comedy.

Matt comes to Infinia ML from Oracle + Bronto, where he developed a scalable recommender system and backend platform for product catalog data. Previously, he developed a variety of scientific software solutions at RTI International (in Research Triangle Park) such as agent-based models, genetic algorithms, and environmental risk models. He holds a BS in Environmental Sciences from UNC Chapel Hill, and enjoys ringing handbells and playing trombone (just not simultaneously).

Hongteng is a research scientist in Infinia ML and a visiting faculty member in the Department of Electrical and Computer Engineering, Duke University. He received his Ph.D. from the School of Electrical and Computer Engineering at Georgia Institute of Technology (Georgia Tech).

His research interests include machine learning and its applications, especially sequential data modeling and analysis, deep learning techniques, and their applications in computer vision and data mining. He enjoys reading, cooking and traveling on vacations.

Before joining Infinia ML, Justin was an Einstein Postdoctoral Fellow at the NASA Jet Propulsion Laboratory / California Institute of Technology. His research focused on analysis of astrophysical data for gravitational wave detection, and he led a multi-institute team of researchers in statistical analysis and software development.

Justin received his Ph.D. in physics from the University of Wisconsin Milwaukee and has authored or co-authored 57 peer-reviewed publications. In his free time he enjoys spending time with his wife and dog, reading, and exercising.

Andy comes to Infinia ML from the National Institutes of Health, where he led efforts to develop software tools  for systematic reviews of scientific literature in environmental health. He’s worked alongside researchers in a scientific computing environment, building production systems from prototypes.

Andy has a BS and MS in Environmental Health Science from the UNC Chapel Hill School of Public Health. In his spare time he enjoys spending time with his family, hiking, and gardening.

Prior to joining Infinia ML, Ryan was a Project Engineer at Vadum, Inc., where he worked on defense-related machine learning libraries and scientific computing projects. He holds a Master of Science in Electrical Engineering from North Carolina State University. As a graduate student, he researched the optimization of data compression for a distributed computing algorithm with machine learning, signal processing, and control applications.

In his free time, Ryan likes to cook, play ultimate Frisbee, and play the guitar.

Laxmi Amulya Gundala is an MS in Computer Science graduate from Boise State University. Her research and thesis projects focused on Data Science with Social Network Analysis. Before pursuing her graduate studies, she worked at Infosys Ltd. as Systems Engineer for a year.

As a Data Engineer, Laxmi works on data analysis and pre-processing of client data. She also works closely with data scientists to build applications focused on data-driven decisions. She likes to dance, listen to music, and cook Indian food in her leisure time.

Carissa is Office Manager & Executive Assistant at Infinial ML. Previously, she worked at Globant, LLC (pre-acquisition: PointSource), where she managed the Raleigh and Chicago offices and supported four executives while coordinating integration activities after the acquisition. She is excited to work with such a talented and engaging team.

Outside of work, Carissa is a worldwide traveler and an avid reader. She also enjoys exercising and spending time with friends and family.

Kevin comes to Infinia ML from ReverbNation, where he played a key role developing web applications from concept to prototype to production. Most recently, he helped ReverbNation take to market a new line of business, leading the frontend web development efforts. Prior roles had Kevin working with data scientists to derive business solutions.

Kevin holds a BS in Integrated Science & Technology from James Madison University. When not in front of a computer, he likes to get out into nature with his wife and vizsla.

A professional software engineer since 2000,  Ryan joins Infinia ML with experience designing and developing software for several large companies. He’s worked in fields including enterprise and network management, genetic sequencing and instrumentation, and tax management.

When not at work, Ryan enjoys exercising and being outdoors, learning new technologies, and spending time with his family. He earned his B.S. in Computer Science & Computer Software Engineering from William Paterson University of New Jersey.

Before joining Infinia ML, Cheuk worked at IBM with the Watson Health group, where he developed data analysis tools. He holds a B.S. in Electrical and Computer Engineering from Cornell University, where he found his passion for machine learning.

Now he’s excited to be growing with this brilliant team and is looking forward to learning for the future. Outside of work, Cheuk enjoys playing soccer, trying ramen shops around the world, and building Gundam models.

Ethan comes to Infinia ML from Oracle + Bronto, where he spent four years learning about time series data, software deployment, and service oriented architecture.  He led a team that built and adopted several new technologies in those spaces.  He has a B.S. in Computer Science from NC State University.

Before joining the Infinia ML team, Coleman was a Marketing Specialist at the communications software company Bandwidth. With a passion for innovative technology and learning, she currently manages Infinia’s inbound marketing strategy while pursuing her B.A. in Communication at North Carolina State University.

Arshita Gupta is a Data Scientist Intern at Infinia ML. She is currently pursuing her Masters from North Carolina State University in Electrical Engineering.  Prior to joining Infinia ML, she was interning as a data scientist in a company that focuses on applying technology and data science to improve outcomes for customers.

Before joining Infinia ML, John worked for a Durham, NC based startup as a machine learning engineer. There he applied machine learning techniques to perform medical document analysis with the goal of creating more patient-friendly medical reports.

Prior to this he received an MS degree in Electrical and Computer Engineering from Duke University. During his graduate studies, he preformed research in applying machine learning and computer vision techniques to the problem of landmine detection.  In his free time, John enjoys lifting weights and trying new restaurants.

Rose is an enthusiastic go-getter with over 15 years of financial experience at Fortune 500 companies and local start-ups including TransLoc and Invensys. Her passion is to manage the financial health of a business while fostering a positive work culture.

Outside of work Rose enjoys soccer, exercising and the movies.  One of her favorite pastimes is to attend a Carolina Hurricanes game with her husband and two children.

Yicheng holds an M.S. degree in Electrical and Computer Engineering from Duke University. Previously he interned at Huawei, Sunwin, and Qfeeltech, where he was responsible for building deep learning models for computer vision tasks and designing software algorithms. Yicheng is interested in applying deep learning methods in various areas like finance and healthcare. He is a person who always wants to change the world with the knowledge he has.

Outside of work, Yicheng enjoys playing basketball and spending time with his cat.

Nirmal is currently pursuing his Masters degree from North Carolina State University in Electrical Engineering. His  research focuses on computer vision and machine learning. 

Prior to joining Infinia ML, he worked in a biomedical research institution as an intern. He built a deep learning model for generating refined segmented maps from retinal images which could be used to observe various biological effects occurring in the retina.