RSS Amplifier

Blog

Apoorva Srinivasan

Apoorva Srinivasan

apoorva-srinivasan.comSource feed ↗7 posts

Dormant Last read · last published · next check
Read 4 days ago and current, but nothing has been published for 20 months.

Latest posts

diffusion models for protein generation

Introduction Proteins are nature's versatile nanomachines— they have evolved to perform virtually every important task in living systems. While nature has produced an incredible range of protein functions, these represent only a tiny fraction of what's possible in the protein universe. De novo protein design

a review on protein language models

Protein “language” is a lot like human language. Given the similarities, researchers have been building and training language models on protein sequence data, replicating the success seen in other domains, with profound implications. In this post, I will explore how transformer models have been applied to protein data

an experiment in navigating the knowledge frontier beyond search

Lately, I've been experimenting with interfaces for large language models (LLMs) in my free time. The fruit of this labor is something I'm calling "curie," an exploratory and sense-making tool designed to navigate complex topics. the limitations of traditional search interfaces It'

what's happened since the human genome project

When the human genome project was deemed “complete” in 2003, it was met with incredible fanfare. The entire project leading up to that moment had all the drama to keep its audience enthralled. Fierce rivalry between a public and private institution, multiple countries involved, 3.5 billion dollars

niceR code with functional programming

At the end of this blog post, you will be able to: Describe functional programming concepts Write functional programming code using purrr package in R If you are anything like me, you probably focused primarily on learning statistics, machine learning and programming on a smaller scale early on in your

getting started with bayesian inference

In my previous post , we spoke about hypothesis testing from a frequentist perspective. This is the method that is commonly taught in STAT101 classes. But for many decades, some statisticians have argued for another approach to conduct statistical analysis based on bayes theorem. As someone who is new to this

on edward jenner and creativity

One common question that’s on everyone’s minds as we fiercely scrub our hands, pool our resources, conserve our consumption, stock up (but not hoard), invent calculus or write King Lear is: when will this end? Nobody knows what the answer to that question is but we