About

I am an Applied Research Scientist at AllSci Corp, where I build AI co-scientists for long-horizon scientific exploration in the life sciences. My work focuses on developing scientific reasoning systems that can decompose papers into hypotheses, research questions, and results, and combine retrieval, post-training, reinforcement learning, and evidence synthesis to support discovery.

At AllSci, I've been working on building agentic research systems for therapeutic landscape analysis, molecule due diligence, and biomedical evidence synthesis across scientific literature, drug assets, clinical trials, and hypothesis databases. This has included building workflows that analyze target biology and mechanism-of-action questions, compare safety and efficacy signals across drugs, surface sponsor/phase/status patterns in clinical-trial data, and support hypothesis discovery. I have also been developing pipelines that break biomedical papers into hypotheses, research questions, and results, along with evaluation and citation-validation systems that make scientific outputs more grounded, benchmarked, and reliable. This included building agentic deep-research systems, retrieval and evaluation pipelines over papers, trials, and hypothesis databases, and infrastructure for making scientific outputs more grounded, benchmarked, and reliable.

Broadly, my research interests lie at the intersection of Large Language Models, Representational Learning, Science of Science, Information Theory, and Uncertainty Quantification. Previously, I was a Research Scientist at the Center for Science of Science and Innovation, working with Dashun Wang at the Kellogg School of Management, Northwestern University. My doctoral study was advised by Dr. Hamed Alhoori, and my dissertation was fully funded by an NSF grant. It focused on building a predictive modeling framework to investigate the Reproducibility crisis in AI. During my Ph.D, I was a Givens Research Associate and an Argonne Leadership Computing Facility Graduate Student researcher. I have also given a workshop on using AutoML for Graph Neural Architecture Search at the ALCF DeepHyper Automated Machine Learning Workshop.

I am an Open Source Enthusiast and in the past I had the opportunity to represent mozilla and webcompat communities. I enjoy capturing random objects, candid moments and vivid terrains. I am peredepain on Instagram. I'm available for email at akhilpandey095@gmail.com (no spam please :D )

In my previous life, Mozilla Official Contributor, Speaker at FOSSASIA 2016, Singapore, and Google Summer of Code Student.