Chad Lieberman Email & Phone Number

Kensington, Maryland, United States

Kensington, Maryland, United States

As the leading AI expert at Flywire, I have directed and executed on the integration of advanced technologies into both internal processes and payer-facing products, significantly advancing the company's technological capabilities and market position.My leadership in developing and maintaining AI-based services have included pioneering the use of Generative AI based on large language models (LLMs) and other advanced ML concepts like deep learning and reinforcement learning, resulting in groundbreaking solutions that enhance customer support, business intelligence, payer relationships, and workforce productivity. Through these initiatives, I've ensured Flywire remains at the forefront of the payments industry's technological evolution, demonstrating exceptional skill in project execution and technical innovation.I have played a pivotal role in strategic decision-making and operational enhancements through data-driven analysis and collaboration with key departments, improving intervention cost-effectiveness and safeguarding revenue. Additionally, I have been a driving force in the establishment of data science workflows to permit training predictive models using sensitive documents in a manner consistent with SOC certification standards.In 2023 I served as the foremost technical leader in a Summit on Generative AI where we brought together stakeholders from across the organization to understand the challenges and opportunities this nascent technology offers to Flywire. In concert with executive leadership, I established the roadmap of initiatives for 2024, and I have begun directing a small team on its execution.

Kensington, Maryland, United States

I spearheaded the launch of an innovative AI-based system for automated reconciliation, which has successfully processed nearly $1 billion in transactions to date. This system utilizes advanced deep neural networks to significantly improve the efficiency of payment processing and to facilitate scale. My role required innovation in numerous projects, such as developing predictive models aimed at identifying potential payment abandonment and defaults on healthcare payment plans. Additionally, I played a key role in designing and deploying a reinforcement learning platform tailored for healthcare personalization, showcasing my strong capability in applying machine learning techniques to address complex business challenges effectively.I have been lauded for demonstrating exceptional skills in cross-functional collaboration and leadership, including mentoring team members and spearheading major initiatives that involve collaboration with engineering, product, security, customer service, marketing, and global payments teams. My contributions have been instrumental in several key projects, including the automation of refunds, enhancement of payer growth strategies, and the implementation of product analytics tools. I am widely recognized for my outstanding execution, innovative approach to problem-solving, and staunch advocacy for the integration of AI into Flywire's product offerings, marking significant contributions to the company's success and technological advancement.

Kensington, Maryland

During my tenure as a consultant for several businesses and leading several of my own projects, I developed a broad expertise in software engineering and machine learning. My responsibilities and accomplishments are diverse and include: - Serving as a Senior Data Scientist consultant at Flywire, Inc., where I worked on AI-based reconciliation projects. This role allowed me to apply my machine learning knowledge to financial processes, enhancing efficiency and accuracy.- Creating ThreadFlex AR, an innovative application that brought augmented reality to T-shirts, showcasing my ability to integrate cutting-edge technology with everyday fashion.- Engaging in high-frequency algorithmic trading in the cryptocurrency markets, where I developed and implemented strategies that capitalized on the volatility and liquidity of digital currencies.- Acting as a Full-stack Engineer and Partner at Prontotype, Inc., where I led custom web development projects for small to medium-sized businesses. This role underscored my versatility in handling various aspects of software development, from front-end to back-end technologies.- Developing a Facebook application for Hogan Assessment Systems, which involved custom web development projects tailored to the client's needs. This project demonstrated my ability to work within the constraints of third-party platforms while delivering personalized solutions.- Creating a Peer-to-Peer Poker Web Application, which leveraged cryptography-based trustless systems. This initiative illustrated my proficiency in utilizing advanced security measures to ensure fair and secure online game transactions.

San Francisco Bay Area

As a Partner at Prontotype, Inc., I played a pivotal role in both the technical and business dimensions of our company, known for crafting mobile and web applications that empower businesses to achieve their objectives with unparalleled competitive advantages. Leading a dual role, I spearheaded full-stack development efforts, ensuring the delivery of bespoke, innovative solutions tailored to our clients' needs. My technical expertise was complemented by my leadership in sales and project management, where I was instrumental in driving customer engagement, overseeing project execution from conception to delivery, and ensuring alignment with business goals. This multifaceted position allowed me to contribute significantly to our three core groups: Custom, which focuses on developing unique web and mobile applications; Products, which manages and advances our SaaS offerings, including Nexus and Zamba; and Labs, which is dedicated to pioneering research in blockchain, NLP/NLG, IoT, and more, reinforcing Prontotype's stance at the forefront of technological innovation.

Northern Va

As a data scientist I supported top-level policymaker decision making by developing new methodologies to make inferences in complex data streams from disparate sources. On two occasions, I was recognized with Exceptional Performance Awards for my analytic leadership and ability to draw significant contributions from my colleagues. Supervisors commended my exemplary mission dedication and accountability and cited my strong bias toward collaboration.

Cambridge, Ma

As a postdoctoral fellow in the School of Engineering, I split time between developing the MIT Department of Aeronautics & Astronautic's first massive open online course (MOOC) entitled 16.100x: Introduction to Aerodynamics and developing the MIT On-campus Educational System (MIToces). MIToces is a web application demonstrating the networked interconnectivity of modular learning outcomes in the MIT engineering curriculum. It was a natural follow-on to Crosslinks, a topic-based pre/post-requisite mapping wiki, which I also co-founded.

Cambridge, Ma

During my doctoral and masters studies, I contributed to research in computational science and engineering in several ways. I developed new goal-oriented inference algorithms that exploit final design goals to accelerate solution of large-scale inverse problems constrained by partial differential equations. Theoretical foundations were established in the context of linear systems and an effective approach for nonlinear systems was demonstrated. I also developed a new method for model reduction that reduces parameter space in systems with high-dimensional parametric inputs; as a result, statistical inference approaches like Markov chain Monte Carlo (MCMC) were then possible. These research thrusts led to numerous publications in top research journals in the field including the SIAM Journal on Scientific Computing, SIAM Review, and International Journal of Numerical Methods in Fluids.

Cambridge, Ma

As a summer intern in the Mathematics & Modeling Group I accelerated a 3-D forward model electromagnetics code by implementing greedy adaptive shifts in rational Krylov subspace reduction. The new algorithm is utilized in the subsurface identification problem in exploration for deep hydrocarbons. The results were published in the SIAM Journal on Scientific Computing.

Albuquerque, New Mexico Area

During my summer at the Computer Science Research Institute (CSRI) at Sandia National Laboratories I implemented model reduction and optimization functionality in a system for rapid developmend of high-performance finite element solutions of partial differential equations. We demonstrated Hessian-based model reduction techniques for deterministic source inversional problems in urban settings.

Medford, Ma

During the summer after my junior year, I designed shape-memory alloy range-extending wings for mid-range missiles on a contract for the US Army. My responsibilities included MATLAB programming, Fortran90 interfacing, concept verification, and model prototyping and testing.

Doctor Of Philosophy (Ph.D.), Aerospace, Aeronautical And Astronautical Engineering

Master'S Degree, Computational Mathematics

Bachelor'S Degree, Mathematics

Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering

High School Diploma