Empowering learners and businesses to confidently work with biological data, at scale.
What do we do?
- Demonstrate a commitment to empirically-backed Bioinformatics and Machine Learning methods.
- Push the boundaries of biological innovation by building solutions across biology, computer science and scalable compute.
- Fortify the STEM talent pipeline through hands-on training and enablement workshops.
How do we do it?
“This workshop gave me the confidence I needed to dive into more advanced bioinformatics.”
-Genspace NYC Workshop participant, 2025
Targeted Workshops
Facilitating hands-on project-based workshops to equip participants with practical bioinformatics skills that scale
Speaking Engagements
Sharing anecdotal career stories with undergraduate and graduate students to support informed decision-making and career mapping in STEM
Consulting
Providing R&D organizations with efficient computational biology solutions, from scalable data analysis to predictive modeling
Why do we do it?
Aneesa grew up in a small town in Dominica (population ~70,000 to date), with dreams of being a biological scientist. Like many others who’ve come from humble beginnings, finding role models was challenging.
That is why at the core of her work lies a deep passion for making computational biology more accessible and impactful. Whether she’s speaking to an audience, instructing students, or consulting with enterprise businesses on bioinformatics training and enablement, her goal remains the same: to steward knowledge and bridge biological inquiry with technological innovation.
Aneesa believes that powerful insights lie within biological data, but unlocking them requires the right tools, strategies and mindset. Through teaching, she empowers the next generation of scientists; through speaking, she inspires collaboration and innovation; and through consulting, she helps researchers and organizations turn biological data into discovery.
Science should be both rigorous and approachable and Aneesa has demonstrated a commitment to ensuring that those working at the intersection of biology and computation have the knowledge, confidence and resources to push boundaries.
ImpaktBio 