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Adrian Mircea Nenu computo, ergo sum
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// Massachusetts Institute of Technology

MicroMasters in Statistics & Data Science

2025 - present US · Remote
Deep-diving into statistics (Larry Wasserman) and probability (Bertsekas, Tsitsiklis) and their use in machine learning and data science - building understanding from the fundamental theory up.
  • Probability - The Science of Uncertainty and Data - MITx 6.431x
  • Fundamentals of Statistics - MITx 18.6501x
  • Data Analysis: Statistical Modelling and Computation in Applications - MITx 6.419x
  • Machine Learning with Python: from Linear Models to Deep Learning - MITx 6.86x
  • Capstone Exam in Statistics and Data Science - MITx DS.CFx

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Training a 14M GPT to Generate Children Stories in 20 Minutes: Pretraining, SFT, and Direct Preference Optimization

End to end implementation, parameter and architecture analysis, and light evaluation of the checkpoints

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Could Actor Systems Be All We Need for Agentic AI Workflows

Are We Reinventing the Wheel of Actor Systems as We Develop Agentic Orchestration for AI?

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Is Computer Science a Worthwhile Pursuit Today?

As of 2026, It Will Most Certainly Endure the Test of Time, Albeit With a Raised Bar of Expectations

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