Bishal Shrestha

Every complex problem has the simplest perspective to solve it.

[Bishal Shrestha @OfficialBishal]

Excited to share our new open-access paper, “HiC4D-SPOT: a spatiotemporal outlier detection tool for Hi-C data,” just published in Briefings in Bioinformatics (Vol 26, Issue 4).

📄 Paper → https://t.co/Q9FZSGzwjp

#HiC #3DGenomics #Bioinformatics #DeepLearning #Research

[Bishal Shrestha @OfficialBishal]

https://t.co/IdSSb6ZK9J

[Xiuyu Li @sheriyuo]

AI research is already falling into a death cycle.

If you do not get an internship at a top lab/company, you cannot access the core techniques or gain real frontier engineering experience. But without those experiences, it becomes almost impossible to pass the resume screening and multiple interview rounds for those same internships.

People joke about using Macs for AI, but in reality they are often just better SSH terminals into remote GPU clusters.

In frontier labs, the most important thing about an internship is not the payout. What really matters is which team (foundations/data/infra/ToC/...) you are on and how much GPU cluster (have you tried training on 64 GPUs?) access you get. That determines the actual value of the internship for your future research and career.

The most advanced models, datasets, and compute resources are increasingly concentrated inside a handful of companies. That concentration is quietly reshaping the entire field.

[digiovannilab @digiovannilab]

Take a look at our article! https://t.co/OPJ8LyS9bi
from @digiovannilab to @EpigenTek and epigenetics community interested in neuroscience: direct druggable causal link between maturation and neuronal regeneration in spinal cord injury

[Google AI Developers @googleaidevs]

⚕️ Introducing C2S-Scale 27B, our new Gemma open model that can translate complex single-cell gene expression data into “cell sentences” that LLMs can understand.

[Bishal Shrestha @OfficialBishal]

Excited to share that our research article, "scHiGex: predicting single-cell gene expression based on single-cell Hi-C data," is now published in NAR Genomics and Bioinformatics.

📄 Read the full paper: https://t.co/MqnY2SCywe

#Bioinformatics #SingleCell #HiC #DeepLearning

[Bishal Shrestha @OfficialBishal]

scHiGex: predicting single-cell gene expression based on single-cell Hi-C data 🧬
#bioinformatics #gene #singlecell #HiC #AI
https://t.co/MqnY2SCywe

[Badri Adhikari, PhD @badriadhi]

Embrace the process first, not chatbots!

[1/11] Parents, educators, and learners, are worried that our children will forget how to create/think independently. Language is the operating system of our mind @fchollet. We built https://t.co/lwYKQo0KVU for writers and programmers.

[Bishal Shrestha @OfficialBishal]

@mizurex33 saw*

[Bishal Shrestha @OfficialBishal]

@mizurex33 I was your sub and you obv have a good sense of humor.
Appreciate the sub.

[Bishal Shrestha @OfficialBishal]

@theeyanks Not much but this might help,
https://t.co/GZZEoZvuub

[Bishal Shrestha @OfficialBishal]

This is amazing haha

[Boston Dynamics @BostonDynamics]

Spot took the field for a halftime show with @MarchingMizzou and @MizGoldenGirls
in collaboration with @MizzouEngineer! Congrats on an amazing performance!

[Bishal Shrestha @OfficialBishal]

@DeepLearningAI_ What is the best way to handle unbalanced data for a binary classification problem?

[Bishal Shrestha @OfficialBishal]

@theeyanks everything was fine till I saw this 😂

[Bishal Shrestha @OfficialBishal]

9 years 😆 #MyTwitterAnniversary

[Bishal Shrestha @OfficialBishal]

@kpsharmaoli 👏👏👏

[Bishal Shrestha @OfficialBishal]

@theeyanks relatable 😂

[Prof. Feynman @ProfFeynman]

The dumber you are, the smarter you think you are and vice versa. 🧠

[Prof. Feynman @ProfFeynman]

You're under no obligation to remain the same person you were a year ago, a month ago, or even a day ago. You are here to create yourself, continuously. 🧠