About Me
I’m a physician currently living in the Philippines 🇵🇭. I have been practicing medicine for 4 yrs now in a quaint town in southeast of Luzon. I love it
here
in this corner of the world but I can't help thinking of my times
here
and recently
here
.
I have a deep interest in the intersection of education and tech as well as research (something I am drawn to recently after acquiring some knowledge in computer programming). Over the past 5 years, these interests have made both my personal and professional life quite exciting allowing me to step outside medicine and return to it different than I was before. One odd observation (though something I'm quite glad about) is that I use one of each interests to procrastinate if I don't feel like doing the other!
My plan in the future is to practice medicine, teach and do clinical research in the UK. I have full GMC registration with license to practise.
I'm also an avid reader, currently delving into "The Fabric of Reality" by David Deutsch. My love for learning extends to developing effective study tools which I use in my academic endeavors. I used to play table tennis and volleyball competitively in high school and college but now I just play to destress and socialize. Cats and dogs are my favorite animals. I'm sure my dogs love me. With my cats, I'm not so sure. Maybe they're still figuring it out.
Projects
On the side, when I am not seeing patients, I tinker with my Macbook and create stuff that challenges and interests me like the following: 👇
Image Analysis and Classification Using Neural Network
This project is part of my requirement in Harvard CS50 Introduction to Artificial Intelligence with Python. It involves classifying over thousands of road traffic images to 43 traffic signs using machine learning techniques. By leveraging the power of TensorFlow and Keras, I developed a model capable of accurately identifying various traffic signs. OpenCV was used for image processing and data augmentation, enhancing the robustness and accuracy of the model.
Here's a playlist that includes the other 11 projects I submitted (and passed!) for this course.
Basket: Rotational Learning Platform
Basket is a learning platform that facilitates rotational learning to tackle the peculiar challenges in long exams. Initially built with FlutterFlow, the app has been reimagined and rebuilt using React to provide a more robust and accessible web experience.
Key features:
- Rotational learning system that strengthens memory through repeated exposure
- Create personalized study baskets/retrieval cues to organize different subjects
- Connect complex concepts to familiar topics for better retention and recall
Patient Role Player
Patient Role Player is a GPT simulator I created to help prepare for my PLAB 2 exam. It simulates various clinical scenarios, allowing me to practice and improve my communication skills with patients. This tool was instrumental in helping me pass and excel in my exam on the first attempt.
Key features:
- Simulates diverse patient personalities and medical conditions
- Provides real-time feedback on communication skills
- Offers performance evaluation after each session
- Helps in identifying areas for improvement in patient interactions
Basket: Personalized Learning App
Basket is a personalized learning app designed to help users retain difficult concepts for long exams by connecting them to familiar topics. This project is a culmination of my experiences with various study tools and my understanding of effective learning strategies.
Hit me up if you want:
- link to the 7 minute video demo of the app
- to be a technical cofounder for Basket (requirement: must be an EdTech junkie too)
- or just curious to know about the books that inspired me to develop Basket
Med Study Hacks Twitter
The Med Study Hacks Twitter account, currently rocking with 1600+ followers worldwide, is dedicated to sharing study tips, productivity hacks, and motivation for medical students and doctors (recently students from accountancy and law have been following too!). I curate and create content that helps students maximize their study efficiency and stay motivated throughout their medical education journey. Follow Med Study Hacks for infrequent insights and tips.
PLAB 2 Exam Tracker
I created a PLAB 2 tracker to help enhance productivity and organization when preparing for PLAB 2. This tracker has been invaluable in my PLAB 2 preparation.
Supabase Database Schema
For those interested in the technical aspects of Basket, here’s the current schema of the Supabase database:
- users table: users_id, email
- workspace: id, title
- topics table: id, title, basket_id (foreign key), workspace_id (foreign key)
- baskets table: id, name, description, workspace_id (foreign key)
- concepts table: id, topics_id (foreign key), text
Research
Frankly speaking, I do not have a wealth of research experience (yet). But this is as an aspect of my professional career I am eager to work on. With my clinical experience and my technical skills, I believe I can contribute to scientific investigations with my own unique capabilities.
In that note, here are a few researches I have been a part of while in medical school (fun times!):
Cytotoxic Activity of Aqueous Leaf Extract of Akapulko (Cassia alata, L.) Against Breast Adenocarcinoma Cell Line (MCF-7) Using the MTT Assay
Investigated the cytotoxic properties of Cassia alata leaf extract on MCF-7 breast adenocarcinoma cell lines. Utilized the MTT assay to assess cell viability and determine the extract's potential as an anti-cancer agent. Contributed to the understanding of natural compounds in cancer treatment research.
Evaluation of the Anti-Angiogenic Property of Crude Leaf Extracts from Jatropha curcas Using Chorioallantoic Membrane of Anas luzonica
Conducted a study to evaluate the anti-angiogenic properties of Jatropha curcas leaf extracts. Employed the chorioallantoic membrane (CAM) assay of Anas luzonica to analyze the extract's effect on blood vessel formation. Provided insights into the potential therapeutic applications of Jatropha curcas in inhibiting angiogenesis.
