Hey! I'm Ramith πŸ˜ƒ

Ramith, smiling and waving at the camera

"Maybe so, maybe not, we'll see.."

Email  /  CV  /  Google Scholar  /  Github

I'm an incoming PhD student in the CMU-Pitt Ph.D. Program in Computational Biology.

Previously at Harvard and MIT, I've had the opportunity to engage in computational biology and imaging research under the guidance of Dr. Dushan Wadduwage and Dr. Sergey Ovchinnikov.

>> I'm interested in developing algorithms and fusing insights from machine learning (ML) to advance biology & healthcare, while striving for robustness and interpretability <<

I started this blog when I was learning Signals and Systems, and through this blog,
I aspire to clearly write (+ develop visualizations)$^\dagger$ about concepts & advancements that awe me.
Occasionally I record piano & vocal covers. You can find them here. 🎢🎹

Research Interests:Computational Biology,Interpretable ML Models for Biology, ML For Science
Research Directions:Differentiable Algorithms, Combinatorial Optimization,Graph Theory/Representation Learning
Uncertainty Quantification

University of Moratuwa, Sri Lanka
Oct 2017 - June 2022

CSIRO | Data61
Oct 2020 - May 2021

Harvard University
July 2022 - July 2024

Jan 2024 - July 2024

CMU-Pitt Comp Bio
Aug 2024 - Present

$\dagger$ Inspired by Distill.pub


2024 June
Attended the MLDD Summer School & Molecular Machine Learning Conference @ MILA πŸ‡¨πŸ‡¦
2023 June
πŸ“‘ Papers accepted to workshops, Sampling and Optimization in Discrete Space (SODS) ፨ and Differentiable Almost Everything (DiffAE) 〆 at ICML 2023 πŸŽ‰
2022 November
[Invited Talk] - Northeast Symposium on Biomedical Optics
2022 September
[Invited talk] - Nano-SymBioSys workshop at UiT, The Arctic University of Norway πŸ‡³πŸ‡΄
2022 August
πŸ“„ Paper accepted to IEEE Signal Processing Magazine
2022 June
Started work as a Post Baccalaureate Fellow at Harvard
2021 June
πŸ… Our team - $T^3$, became the Champions of the IEEE Signal Processing Cup 2021 πŸŽ‰
2021 February
πŸ“„ First Author Paper Accepted to ISCAS 2021
2019 October
πŸ… Our team, became 48th in the world, 1st in πŸ‡±πŸ‡° in IEEEXtreme 13.0 Competition

Want to chat?

I allocate ~1.5 hours per week to have 1:1 sessions with undergrads who wants any advice/guidance. If you are such an undergrad, you can schedule a time here.
If the link doesn't seem to work, please try in incognito mode.

24 Feb 12

An inspiring open science journey to remember πŸ’™

5 min read
22 Mar 08

Access Harvard FASRC through vscode without entering password & two step code every time

1 min read
22 Feb 24

How to setup a JAX/Tensorflow 1.15 environment in the FASRC Cluster

5 min read
22 Jan 26

Deep Residual Learning for Image Recognition

3 min read
22 Jan 05

JAX 001 - A closer look at its background

3 min read
21 Sep 26

Summary of Paper - Representation Learning Via Invariant Causal Mechanisms (ReLIC)

2 min read
19 Jul 19

Learning a new hardware platform (ScholarX - Part 2)

2 min read
19 Jul 14

Making a robot Visualisation Platform from Scratch (and how you can do the same)

2 min read
19 Jun 19

What I learnt the hard-way | Taking notes

1 min read
19 Jun 02

Building Blocks Matter!: #ScholarX

3 min read
18 Dec 27

Creating a pulse sensor from scratch πŸ’Ÿ

1 min read
18 Dec 22

Creating a sustainable blog..? Β―\_(ツ)_/Β―

2 min read
18 Dec 03

Analysing Second Order System Response of an RLC Circuit

1 min read
18 Dec 02

Does Bilateral Laplace Transform Exist for Sin(t) ?

1 min read
18 Dec 01

Understanding Properties of the Laplace Transform using Wolfram Language 🐺

2 min read

Some things I care about (or used to do) during my free time...
Project Aya
Open Science Effort to Accelerate Multilingual AI

Project Aya - Sinhala/ΰ·ƒΰ·’ΰΆ‚ΰ·„ΰΆ½

Working alongside likeminded Sinhala speaking individuals who'd love to see our language thrive in the current NLP advancement landscape.
(2023 - Present)
Audiobook library

Manusath Handa

We built on online platform to gather and disseminate audiobooks (Sinhala/Tamil) to visually impaired students.
(Contributed while I was an Undergrad).
Some Visualization Tools I've built
D* Lite

D* Lite Algorithm

As part of my internship, I wanted to implement the D* Lite algorithm, with dynamic obstacle creation aspect. (WebAssembly)
Convolutional NN Visualizer

Project Intelliscope

As part of a medical research, built a model visualization tool to get more intuition on what sort of learning has the model performed. (TensorSpace.js)
Multi-Core Processor

FPGA Group Project

To test our ISA and the functionality of any assembly code, I developed a tool to simulate the activity of each core. (p5.js)