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

Chief Technology Officer, Ireni Co 2024:

Builds applications based on the Dec measurement system
Offers freelance consulting services to clients

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:
- Machine Learning
- Data Analytics

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:
- SIP
- MRSP
- HiSTEP

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:
- Biology of Organisms
- Women and Leadership

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

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

ILR 5: English, Polish
ILR 4: Spanish, Russian
ILR 2: French, Portuguese