My re­search aims at gain­ing novel in­sight into the fun­da­men­tal laws of na­ture through per­tur­ba­tive pre­ci­sion cal­cu­la­tions across the scope of par­ti­cle col­lider pro­grams.

My re­search is at the in­ter­face of the tech­ni­cal the­ory com­mu­nity and the ex­per­i­men­tal analy­ses, and ex­tends from high­er-order mul­ti­-loop cal­cu­la­tions to Mon­te-­Carlo event gen­er­a­tors rel­e­vant to ex­per­i­men­tal analy­ses, to lat­tice-­match­ing cal­cu­la­tions for cru­cial in­put pa­ra­me­ters like PDFs and the strong cou­pling. The use of large scale nu­mer­i­cal and com­puter al­ge­bra meth­ods is part of my daily work.

It has be­come clear to me that the way we learn about na­ture is not only through the find­ing of new par­ti­cles or in­ter­ac­tions, but at the very least equally through the pre­cise test of es­tab­lished the­o­ries. Find­ing no de­vi­a­tions from those the­o­ries at higher en­er­gies and smaller scales is a dis­cov­ery in it­self. This is what I coin “Pre­ci­sion is dis­cov­ery” and have been pro­mot­ing to fund­ing agen­cies, for ex­am­ple in P5 meet­ings in the US, and through my con­tri­bu­tions to the Snow­mass 2022 process.

Please see my pub­li­ca­tions for tech­ni­cal de­tails.