What are your main responsibilities? What does a typical week look like for you?
The Translation Programs team conducts advanced research initiatives in collaboration with pharmaceutical clients, developing optimized AI models to analyze complex data reliably, transforming drug R&D and improving patient selection.
As a member of the Translational Programs team, I manage and actively contribute to strategic client engagements, leveraging my scientific expertise while collaborating with specialized data scientists to develop sophisticated AI models. My daily work involves coordinating with pathologists, data scientists, and key stakeholders to maintain efficient project workflows and drive continuous progress on deliverables.
What is a recent challenge that your team overcame that you’re particularly proud of?
During a recent project, a client observed a subtle histological feature that appeared to correlate with potential treatment response, but was difficult to measure scalably in the lab. To validate whether this feature was consistently present across their larger data sample, our team was tasked with developing a way to accurately quantify this feature at scale. Given that this distinct histological feature was not something that we had come across before, we needed to develop a custom approach to quantify it.
To find the best solution, our data science team worked closely with our pathologists to recapitulate the client’s findings, then iteratively developed and tested multiple machine learning models until they found a solution that delivered robust results, as verified by pathologists. Our team’s systematic approach demonstrated exceptional technical ingenuity and allowed the client to turn what had originally been a one-off observation into a scalable approach that can now be used in other analyses.
What is an impactful skill that you developed since joining the team that you did not expect?
During my time at Aignostics, I have developed an understanding of the increased potential of data through integration into machine learning models. My background is in biological sciences, so I had a more focused view and experienced wet lab experiment results as the end results for analysis and interpretation. However, after joining Aignostics, I’ve learned that what I previously thought as the end results, can actually become initial inputs for machine learning models to learn from and produce even greater results.
This shift in perception and the ability to reinterpret data as a tool for advanced model development was an unexpected but extremely valuable skill to learn in my role as Scientific Project Manager. In a wet lab, you can usually only work on one project or one data modality at a time. With machine learning, we now have the ability to bring many different data modalities together to get a more comprehensive and complete output to our research questions.
What is your favorite part about working at Aignostics?
What I value most about my current role is its ‘interdisciplinary’ nature. The position offers a distinctive opportunity to expand my knowledge in both pathology and machine learning domains, complementing and enhancing my foundational Biomedical expertise. This professional environment where these diverse fields converge creates a uniquely enriching experience.
How would you describe your team in just three emojis?
🧐🛤️⚡
Our team thrives on curiosity and having a problem-solving attitude! We're committed to long-term innovation, developing sustainable solutions that evolve with our clients' needs. Our collaborative approach (with a dazzle of creative thinking!) transforms multidisciplinary expertise into practical results.