Clinical Research Fellows 2023 Cohort

 

Sooha

Sooha Kim

My project involves utilising machine learning to develop personalised radiotherapy treatments that are robust against delineation uncertainties


 

 

Germaine

Germaine Chia

Project title - Bone marrow microenvironment remodelling and innate immune signalling in acute myeloid leukaemia

What inspired you to choose this project?

I am interested in studying how support cells within the bone marrow change in response to acute myeloid leukaemia (AML)/chemotherapy so that we can identify patients at risk of poorer outcomes and of equal importance identify better ways to target the leukaemia through facilitating personalised treatment approaches. The long-term hope is that we will be able to identify better treatments to effectively treat the AML/prevent it from coming back while helping patients achieve healthy bone marrow recovery.

Interesting fact about yourself

I was inspired to choose Haematology as a career after completing an intercalated BSc in Haematology during medical school, and haven’t looked back since!

 

 

Ray

Ray Tan

Project title - CAR-T Cell Therapy for Lung Cancer

What inspired you to choose this project?

I chose this project because I have a strong interest in cell therapies and believe they have huge potential to help cancer patients in the future. Furthermore, lung cancer is one of the common cancers for which more

effective therapies are urgently needed. The hope is that this project will eventually pave the way for a potential clinical trial and provide an effective therapy for patients with lung cancer.


Interesting fact about yourself

My birthday (26th Sept) is one of the most common birthdays.

 

 

Preethika Mahalingam

 

Preethika Mahalingam

Project title - Optimising NK cell therapy in ovarian cancer

Why did you choose this project: 

I have a specific interest in high grade serous ovarian cancer, and I chose this project as it offered the opportunity to explore a novel therapeutic approach to this disease and study the tumour microenvironment using multiomics.  

  

How will it impact cancer patients: 

High grade serous ovarian cancer is the most deadly gynaecological cancer and only 30% of patients survive beyond 10 years. There is a clear unmet clinical need in the relapsed setting and we hope that this project will contribute to the development of novel immune-based therapies in this tumour type. 

 

Fun fact about yourself 

I am an ex national debating champion and addicted to decaffeinated tea.  

 

 

 

Christopher Sng