Spearhead firm-wide AI strategy and implementationLead end-to-end AI solutions: from hardware infrastructure to LLMOpsEvangelize and educate firm leadership and practice groups about AI technologyEstablished AI Center of Excellence, educating firm leaders, partners and associates about the implications of AI.Built and managed a team of AI engineers

Provide expertise in Machine Learning, AI, and Software EngineeringProvided strategic guidance on AI implementation in legal processesDeveloped AI-powered tools for legal research

Provide insight and advisory support for WTA's AI cancer platform.

Collaborate with academic partners on various research projects, including drug discovery and precision oncology

Develop and lead the scientific strategy of CancerIQ, from discovery to development, in alignment with the organization's long-term mission and values of delivering knowledge and innovations to the field of cancer research.

Responsible for the successful execution of technology strategy in order to produce a robust predictive analytics healthcare platform for cancer risk.

Lead the engineering team to develop a secure, robust, and HIPAA compliant platform for medical data aggregation and analysis, for use in medical institutions. Efficient patient phenotyping algorithms, data capture for ML, EMR integration, optimal software development lifecycles, continuous delivery, secure cloud topologies, security and technical policies, database design, product design, full-stack development.

Build tools and systems for computational genomics, focusing on genome assembly algorithms for accuracy and performance, as well as novel compute infrastructures and architectures for hardware acceleration of computational workflows. Additionally, our group explores the application of machine learning techniques to biological problems such as microbial resistance and cancer drug response.

Development of algorithms and methods to compare whole genomes efficiently in order to infer evo- lutionary phylogenies of organisms without the use of multiple alignments or use of heuristics.Development of scripts to access online sequence databases for automated retrieval and parsing of genomic data files.Front and back-end design and implementation of a host-blind primer database system. Calculation and design of ultraspecific primers of organisms of interest for bioterrorism defense. Development of a software package to visually represent sequence similarity and rearrangements.System design of a genome-wide association studies literature and microarray data analysis pipeline. Genome comparison using high performance GPU computing in CUDA and OpenMP.

Taught programming languages and computer science coursesDeveloped curriculum and course materials for undergraduate students