About
I am an experienced scientific programmer with a unique blend of academic rigor and real-world industry experience. My journey began in academia, where I honed my skills as a researcher and educator at two prestigious institutions: University of Cambridge UK and Harvard University. During my tenure in academia, I delved deep into the realms of data science, modeling, and computational research. I contributed to groundbreaking projects, published in renowned journals, and had the privilege of mentoring bright minds eager to explore the frontiers of knowledge.
However, my passion for innovation and desire to make a tangible impact led me to pivot towards the dynamic landscape of industry. Transitioning into a role as a full-stack software engineer, I seamlessly integrated my academic expertise with practical problem-solving skills. I am continuously seeking new opportunities where I can continue to leverage my multifaceted skill set to tackle complex challenges in data science, modeling, and software engineering. If you're looking for a versatile professional who can bring both depth of knowledge and a fresh perspective to your team, let's connect!

Skills
Hard skills
Python
C++
R
Bash scripting
High-performance computing
Soft skills
Presentations and speaking
Technical writing
Cross-discipline communication
Microsoft Excel
Areas of Interest
Any and all of the -omics
Machine learning
Quantitative finance
Agricultural tech
Real estate
Short CV
Education
PhD in Computational Genetics
2019 - 2022
University of Cambridge Department of Genetics, Cambridge, England
Mathematical methods for population genetics. Review my PhD thesis here.
MPhil in Computational Biology
2018 - 2019
University of Cambridge Department of Applied Mathematics and Theoretical Physics
Coursework included Bayesian Statistics, Scientific Programming, Functional Genomics, Genome Sequence Analysis, Cancer Genetics, Theory and Practice of Deep Learning, Theoretical Neuroscience and Systems Biology
BA in Natural Sciences
2015 - 2018
Newnham College, University of Cambridge
Coursework included Biology of Cells, Mathematical Biology and Earth Sciences.
Professional Experience
Software Engineer
2023 - 2024
NextEra Energy
- Full stack development of a Flask webapp - Python back-end and ReactJS front-end
- Collaborated closely with a team of engineers using Gitwork flow.
- Gained experience in financial theory and calculations for large-scale projects.
Postdoctoral Fellow
2022 - 2023
Harvard University Department of Human Evolutionary Biology/Harvard Medical School
- Developed methods to systematically correct bias between two different types of next-gen sequencing (capture and shotgun)
- Analyzed data from ancient DNA sequencing, and developed algorithms to implement batch effect resolution.
- Collaborated with researchers from a range of disciplines, including archaeology, anthropology and clinical genetics to develop new methods.
Services
Consulting
I offer data science consulting for any field requiring it. Limited work samples available upon request.
Bespoke Tutoring
I have tutored students from high school to undergraduates in all STEM subjects. In addition I offer Oxbridge admissions consulting.
Contact
Location:
Chapel Hill, NC, 27517
Email:
alice@pearson.co.uk
Call:
+1 (857) 507-7597