Hey! I'm Ramith ๐Ÿ˜ƒ

Ramith, smiling and waving at the camera

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

Email  /  CV  /  Google Scholar  /  Github

I'm a Post-Bac Fellow at Harvard, and a Visiting Scientist at MIT working at SoLab.
I've been engaging in computational biology and imaging research with 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 covers and try to sing songs. You can find them here. ๐ŸŽน

Research Interests:Computational Biology,Interpretable ML Models for Biology, ML For Science
Multi-modal Learning (Genomics+Imaging)
Research Directions:Differentiable Algorithms, Combinatorial Optimization,Graph Theory/Representation Learning
Uncertainty Quantification

University of Moratuwa, Sri Lanka
Oct 2017 - June 2022

Harvard University
July 2022 - Present

Jan 2024 - Present

CSIRO | Data61
Oct 2020 - May 2021

Project Aya๏นก
June 2023 - Present

๏นกAn open science project

$\dagger$ Inspired by Distill.pub


2023 June
๐Ÿ“‘ Papers accepted to workshops, Sampling and Optimization in Discrete Space (SODS) แจ and Differentiable Almost Everything (DiffAE) ใ€† at ICML 2023 ๐ŸŽ‰
2022 November
[Invited Talk] - Northeast Symposium on Biomedical Optics
2022 September
[Invited talk] - Nano-SymBioSys workshop at UiT, The Arctic University of Norway ๐Ÿ‡ณ๐Ÿ‡ด
2022 August
๐Ÿ“„ Paper accepted to IEEE Signal Processing Magazine
2022 July
Started work as a Post Baccalaureate Fellow at Harvard
2021 June
๐Ÿ… Our team - $T^3$, became the Champions of the IEEE Signal Processing Cup 2021 ๐ŸŽ‰
2021 February
๐Ÿ“„ First Author Paper Accepted to ISCAS 2021
2019 October
๐Ÿ… Our team, became 48th in the world, 1st in ๐Ÿ‡ฑ๐Ÿ‡ฐ in IEEEXtreme 13.0 Competition

Undergrad from Sri Lanka?

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.
After scheduling, pls add it to your calendar. If the link doesn't seem to work, please try in incognito mode.

24 Feb 13

An inspiring open science journey to remember ๐Ÿ’™

5 min read
22 Mar 08

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

1 min read
22 Feb 25

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

5 min read
22 Jan 27

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 27

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 20

What I learnt the hard-way | Taking notes

1 min read
19 Jun 03

Building Blocks Matter!: #ScholarX

3 min read
18 Dec 28

Creating a pulse sensor from scratch ๐Ÿ’Ÿ

1 min read
18 Dec 22

Creating a sustainable blog..? ยฏ\_(ใƒ„)_/ยฏ

2 min read
18 Dec 04

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 02

Understanding Properties of the Laplace Transform using Wolfram Language ๐Ÿบ

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/เทƒเท’เถ‚เท„เถฝ

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)