Marios Papamichalis

I am a dedicated data scientist and researcher with a strong focus on social network analysis, machine learning, and causal inference. My work bridges advanced statistical methods and real-world applications, driving impactful insights in public health, finance, and technology. With experience across academia and industry, I excel at developing predictive models and optimizing strategies through causal and statistical analysis.

Notes4

• Quant employment verification: CONFIRMED. Index/aggregator (taiga-style) data records an actual paid role as Wells Fargo Quantitative Analyst, Quantitative Strategy division, Manhattan NY, 2020-2023, described as developing trading strategies for volume prediction (Dynamic Linear Models, Hierarchical models) and market distress detection. Wells Fargo & Co. is a US global bank whose securities/quantitative-strategy units operate in quantitative finance, so the employer qualifies. The role is corroborated only by LinkedIn-derived index data (no independent primary Wells Fargo page found), so identity/role rest on the index; the role title and finance description are specific and consistent with the person's statistics background. Index-only, not independent primary-source confirmation.Jun 2023
• Identity anchor: the caller-supplied LinkedIn (marios-papamichalis-938b7628b) and the caller-supplied Wells Fargo role both resolve to the same Yale academic profile; a second, unrelated 'marios papamichalis' (Apella S.A., Athens) exists and is NOT this person.2026
• Career timeline from a single LinkedIn-derived index (dates as listed): Product Madness data scientist 2014; The Outside View data scientist 2014-2015; Kiwi Power (ENGIE) data scientist 2016; UCL PhD researcher 2016-2018; Meta statistician 2018; Purdue postdoc 2019-2020; Yale postdoc 2020-2021; Wells Fargo Quantitative Analyst 2020-2023; Yale postdoctoral research associate 2021-present. Overlapping dates suggest the index rounds partial-year roles; treat as approximate, index-only.Jul 2026
• Human Nature Lab (Yale) staff page confirms Marios V. Papamichalis completed his PhD in January 2019 (UCL & Purdue), supervised by Prof. Patrick Wolfe and Prof. Simon Lunagomez, and works at Yale with Prof. Christakis and Prof. Airoldi on causal inference on large-scale networks and probabilistic inference for social networks -- primary-source confirmation of the academic identity.2025
• Public email [contact omitted] and office 17 Hillhouse Avenue, Suite 393a listed on his Yale Human Nature Lab profile.2025
• The Yale lab page states he holds First Class Master's degrees from UCL (MSc Machine Learning, MPhil Statistics) and an MEng in Electrical Engineering and Computer Science from NTUA, and cites 'distinction in several Mathematical Olympiads' as evidence of quantitative ability (lab's own framing; no hiring claim).2025
• Listed as a Greek contestant for the IMO in 2004 and 2005 (olympiad identity lead); the 2004 IMO was hosted in Athens, Greece. Team-level pages were reached but a per-contestant line was not read in-window, so treat the specific years as matching the brief's lead rather than freshly primary-verified.Jul 2004
• Publication 'Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model' appears under his name (network-statistics research), consistent with the UCL/Purdue/Yale line of work.2017