Molecular profiles & drug response
Researchers compare findings on biomarkers, drug sensitivity, and resistance across studies. The aim is to identify patterns worth investigating and questions that remain unresolved when findings differ.
02 / Research
Her research
interests.
Two areas of focus: financial risk and computational cancer research.
AI Finance
Company finances
and financial risk.
The finance department studies capital structure, cash flow, and liquidity to understand how funding needs and market conditions affect risk. Its work considers how a company’s obligations line up with the cash it expects to generate.
Statistical analysis and machine learning help organize financial information and compare scenarios. The aim is to identify which assumptions drive the assessment, where funding pressures could emerge, and how the picture changes under less favorable conditions.
AI Medicine
Cancer research and
early drug discovery.
The medicine department uses computational methods to study cancer biology and support early-stage targeted drug discovery.
Medical research priorities
Potential therapeutic targets
The team examines links between potential targets, tumor biology, and drug mechanisms. It considers the evidence behind each proposed connection and the gaps that further research would need to address.
Early candidate discovery
The team is exploring whether computational methods can narrow the range of drug candidates for further study. The goal is to give experimental researchers more focused questions to investigate.
Next steps
Testing the findings.
Computational findings guide further research. They do not establish that a drug candidate is safe or effective; that requires experimental and clinical evidence.
How the team evaluates evidence