Martin Skarzynski Laptev
Mission
My goal is to lead the next generation of scientists and engineers in building solutions that integrate substantive expertise from diverse fields with machine intelligence. Through my work, I strive to promote open source software, such as the Quarto publishing system, which I use to build dashboards, presentations, reports, websites, and other digital deliverables. Overall, I aim to leverage my broad scientific background and technical expertise to help transform the promises of science and technology into a better future for all of humanity.
Experience
Lead Instructor, General Assembly 2019:
- Teaches open-enrollment and enterprise courses such as:
Lead Instructor, Data Society 2019:
- Provides enterprise clients with training in:
- Machine Learning
- DevOps & MLOps
- Python & R Programming
- Generative AI
- Graph Analytics
- Text Analysis & NLP
Senior Domain Lead, Amazon Web Services 2022:2024
- Provided customers with scientific and technical expertise in:
- Built Artificial Intelligence (AI) solutions and Machine Learning Operations (MLOps) systems using:
- Obtained 3 AWS certification
Adjunct Professor, Virginia Tech 2021:2024
- Taught two graduate courses for the Computer Science and Statistics Departments:
Vice President, Data Community DC 2022:
- Leads a non‑profit organization that supports eleven Meetup groups
AI Engineering Manager, Booz Allen Hamilton 2019:2023
- Led a team of data scientists and software developers working on a cyber intelligence application
- Spearheaded interdisciplinary COVID‑19 visualization, genomics, and statistical modeling efforts
- Obtained the Microsoft Azure Data Scientist Associate certification
Biomedical Scientist, National Institutes of Health 2009:2022
- Integrated clinical, laboratory, epidemiologic, genomic, and medical imaging data
- Combined deep learning and statistical inference using stacked ensembles
- Conducted genomic analysis of immune and cancer cells
- Developed and tested pharmaceutical and immunotherapeutic agents
- Quantified cancer cell signaling pathways
- Mentored trainees from various NIH training programs including:
Bioinformatics and Data Science Co-Chair, FAES 2014:2021
- Co‑administered an academic program with over twenty faculty members
- Taught three graduate data science courses:
- Taught graduate biotechnology workshops on various topics including:
Adjunct Professor, George Washington University 2015:2016
- Taught two undergraduate courses for the Women’s Leadership Program:
Education
- MPH, Epidemiology and Biostatistics, Johns Hopkins University 2018
- PhD, Tumor Biology, Georgetown University 2015
- MS, Biotechnology, Jagiellonian University 2009
- BA, Biology, St. Mary’s College of Maryland 2007
Publications
- Potentiating [mAb] therapy by targeting complement C3 […] on lymphoma cells 2025
- Recalibration of a deep learning model […] to inform lung cancer screening intervals 2023
- [COVID] genome‐based severity predictions correspond to […] higher viral load 2022
- Linking genotype to phenotype […] in [COVID] […] 2022
- Variants in [COVID] associated with mild or severe outcome 2021
- Using prediction models to reduce […] disparities in […] lung cancer screening […] 2021
- Pathogenic role of [BCR] signaling and canonical NF-κB activation in [MCL] 2016
- Interactions between ibrutinib and anti‐CD20 antibodies […] 2016
- Health disparities in the immunoprevention of [HPV] […] associated malignancies 2015
- Designing the furin‐cleavable linker in recombinant immunotoxins […] 2015
- Harnessing the Fcμ receptor for […] therapy of [CLL] 2014
Awards
- Community Contribution of the Year Category Finalist, AWS Builder Awards 2023
- Artificial Intelligence Solutions Architect Award, BAH Emergent Skills Program 2022
- Fellowship Research Award, Cancer Prevention Fellowship Program 2019
- Fellows Award for Research Excellence, National Institutes of Health 2015
- Orloff Science Award, National Heart, Lung, Blood Institute 2014
- Director’s Science Award, National Heart, Lung, Blood Institute 2014
Languages
Skills
